Systems & Control Engineering, Measurement, Testing 2026

Instrumentation, Measurement & Testing

2D Materials-Based Sensors: Technology and Applications is a comprehensive book covering the latest innovations using the unique properties of 2D materials. With an introductory survey of the 2D materials, the book explains their properties and their detaliled synthesis techniques.

Contents
Preface
Acknowledgments
About the Author
About the Book
Abbreviations, Acronyms, and Chemical Symbols
Mathematical Notation
Greek Alphabet
1. The 2D Materials Family and Properties of 2D Materials Used in Sensors
2. Synthesis, Deposition, and Processing of 2D Materials for Sensor Fabrication
3. 2D Materials-Based Mechanical Sensors
4. 2D Materials-Based Photodetectors
5. 2D Materials-Based Magnetic Sensors
6. 2D Materials-Based Metal Ion Sensors
7. 2D Materials-Based Gas Sensors
8. 2D Materials-Based Biological Sensors
9. Challenges and Perspectives of 2D Materials-Based Sensors
Index

Junejo, Abdul Khalique | Xu, Wei | Tang, Yirong

This book presents advances in control technologies for efficient operation of permeant magnet synchronous machines (PMSMs) and linear induction machines (LIMs) based on sliding mode control (SMC).

1. Introduction 2. Robust Speed Control of the PMSM Based on the Continuous Fast Terminal Sliding Mode Control 3. Extended State Observer-Based Sliding Mode Control of Permanent Magnet Synchronous Motors 4. Novel Speed Control of PMSM Drive System Based on Adaptive Sliding Mode Reaching Law 5. Improved Reaching Law-Based Sliding Mode Control with Extended State Observer of PMSM Drive System 6. Sliding Mode Speed Regulation on LIMs Based on Direct Thrust Control with Space Vector Modulation Strategy 7. Improved Drive Performance of LIM Based on Double-Power Sliding Mode Reaching Law under the DTC Method 8. Cascaded Sliding Mode Control under Direct Thrust Control for Linear Induction Machines Based on Linear Metro 9 Improved Full-Order Sliding Mode Based on Model Predictive Flux Control for LIMs Applied to Urban Transit 10 Conclusions and Future Works

Li, Cong | Wang, Yongchao | Liu, Fangzhou | Zhang, Xinglong

This book applies set-theoretic and reinforcement learning approaches to formulate, analyze and solve the challenge of ensuring  safe operation of robotic systems in an uncertain environment.

1 Introduction to Safety under Uncertainty  Section I Set-Theoretic Methods  2 Guaranteed Safety and Performance via Concurrent Learning  3 Provable Robust Safety Through Barrier Lyapunov Function  4 Safe Navigation via Integrated Perception and Control  Section II Reinforcement Learning Approaches  5 Constrained Optimal Control Through Risk-Sensitive RL  6 Safe Approximate Optimal Control via Filtered RL  7 Time-Delayed Data Informed RL for Optimal Tracking Control

Yuan, Huanhuan | Yuan, Yuan | Dong, Huapeng | Xia, Yuanqing | Wang, Mengbi

Computer & Software Engineering

This work  focuses on resilience estimation and control of cyber-physical networked systems using attacker-defender game theory. It presents attack and defense strategies and describes the design and resilience of control systems to withstand cyberattacks.

1. Introduction  Part 1: Resilient Strategy to Deception Attack  2. Secure filtering under multiple missing measurements and deception attacks  3. Distributed filtering against deception attacks with quantization effect  4. Attacks Detection and Disturbance Rejection Based on ESO/ROESO for Multiagent System  Part 2: Resilient Strategies to DoS Attack  5. Resilient state estimation with multi-channel transmission under DoS attack  6. Resilient strategy under DoS attack over a multi-channel transmission framework  7. Resilient Control under DoS Attack via a Hierarchical Game  8. Resilient Strategy Design under Active Eavesdropping Attack  Part 3: Resilient Strategies for CCS against Threat  9. Dynamic pricing based resilient strategy design under jamming attack  10. Stackelberg-Game-Based Defense Analysis againstAdvanced Persistent Threats

Process Control - Chemical Engineering

Due to the popularity of artificial intelligence today, scientists and practitioners tend to ignore the achievements of statistical methods. This book aims to re-establish statistical methods, especially for control practitioners, for whom the task of assessing control performance is important.

1 The scope of the book  2 Research also owns its distribution  3 Attention! Outliers!  4 Basic notions  5 Normal distribution – the peak  6 Non-Gaussian distributions – the tails  7 Extreme statistics– the power of tails  8 What happens in tails? – outliers  9 Visualization of statistical properties  10 Research derivatives  11 The feedback loop  12 Control performance assessment  13 Time matters – Control sustainability  14 Single-element, multi-element and multivariate controls  15 Systematic time series analysis procedure  16 Systematic control system assessment procedure  17 Industrial case studies

Instrumentation, Measurement & Testing

This book walks the reader through fundamental principles of calibrations, traditional calibration methods, the related standards, and procedures, as well as fast developing and diverse range of artificial intelligence-based calibration methods.

1. General Concepts. 2. Calibration Strategies and Techniques. 3. Mathematical Methods in Calibration. 4. Calibration Steps. 5. Artificial Intelligence in Calibrations. 6. Applications of AI in Calibration. List of Abbreviations.

Precup, Radu-Emil | Roman, Raul-Cristian | Hedrea, Elena-Lorena | Szedlak-Stinean, Alexandra-Iulia | Zamfirache, Iuliu Alexandru

Classical and Modern Optimization Techniques Applied to Control and Modeling

The book presents a detailed and unified treatment of the theory and applications of optimization applied to control and modeling, focusing on nature-inspired optimization algorithms to optimally tune the parameters of linear and nonlinear controllers and models, with emphasis on tower crane systems and other representative applications. 

Chapter 1- Introduction
Chapter 2- One-step Optimization
Chapter 3- Discrete-time Optimization
Chapter 4- Numerical Solving of Optimization Problems
Chapter 5- Metaheuristic Optimization Algorithms
Chapter 6- Optimization Algorithms in Artificial Neural Network Training
Chapter 7- Introduction to Data Mining
Chapter 8- Reinforcement Learning Applied to Optimal Control

Song Yongduan Song, Yongduan | Zhao, Kai | Ye, Hefu

The theory of nonlinear control systems has grown and flourished since the 1980s. Numerous texts of varying degrees of difficulty have been published on this topic.

Part 1. Fundamentals of Nonlinear Systems. 1. Introduction. 2. Fundamentals of Lyapunov Theorem. 3. Nonlinear Design Methods and Tools. Part II Control of Nonlinear Systems. 4. Control of First-order Systems. 5. Control of Normal-form Systems. 6. Control of Strict-feedback Systems. 7. Control of MIMO Systems. Part III Performance/Prescribed-time Control. 8. Accelerated Adaptive Control. 9. Control with Exponential Convergence and Prescribed Performance. 10., Finite-time Control. 11. Practical Prescribed-time Control. 12. Prescribed-time Stabilization Control. 13. Prescribed-time Tracking Control.

This book covers control systems engineering principles and analysis techniques. Self-contained for two-semester courses on classical and modern control systems, including digital control. It balances theory with practical application using Matlab/Simulink simulations. Designed for undergraduate/postgraduate students and engineers.

1- Signals,Systems and Control 2- Modeling,Block Diagrams,Signal Flow 3- Time Domain Analysis 4- Stability Analysis of Linear Systems 5- Steady State Error of Linear Systems 6- Root Locus Analysis 7- Frequency Domain Analysis 8- Controller Design of Linear Systems 9- State Variable Modeling 10- State Variable Analysis 11- Controller Design via State Space

Wang, Licheng | Wang, Zidong | Wei, Guoliang

Data-Rate-Constrained State Estimation and Control of Complex Networked Systems

Instrumentation, Measurement & Testing

This book presents research developments and novel methodologies on data-rate-constrained control and state estimation for complex networked systems with different kinds of encoding-decoding mechanisms.

1. Introduction 2. Gain-Scheduled State Estimation for Discrete-Time Complex Networks Under Bit-Rate Constraints 3. Partial-Neurons-Based State Estimation For Artificial Neural Networks Under Constrained Bit Rate: The Finite-Time Case 4. Synchronization Control for a Class of Discrete-Time Dynamical Networks With Packet Dropouts: A Coding-Decoding-Based Approach 5. Observer-Based Consensus Control for Discrete-Time Multi- Agent Systems with Coding-Decoding Communication Protocol 6. Recursive Filtering with Measurement Fading: A Multiple Description Coding Scheme 7. Stabilization of Linear Discrete-Time Systems Over Resource-Constrained Networks Under Dynamical Multiple Description Coding Scheme 8. An Event-Triggered Encoding Approach to Control of Linear Systems under Bit Rate Conditions 9. Event-Based State Estimation under Constrained Bit Rate: An Encoding-Decoding Approach 10. Conclusions and Future Topics

Mutambara, Arthur G.O.

Second edition introduces 4IR adoption strategies for traditional intelligent control including new techniques of implementing control systems. It provides improved coverage of characteristics of feedback control, Root-Locus analysis, frequency-response analysis including updated worked examples and problems. 

1. An Introduction to Control Systems 2. Modelling of Dynamic Systems 3. Dynamic System Response 4. Characteristics of Feedback Control Systems 5. Root Locus Design Methods 6. Frequency-Response Design Methods 7. State-Space Design Methods 8. Digital Control Systems 9. Advanced Control Systems 10. AI-Based Design and Analysis of Control Systems. Appendix A Appendix B

Focusing on basic theory, emerged technologies and underlying engineering solutions, we investigate frontiers of engineering and science in design and control of physical and cyber-physical systems (CPS).

1 Systems in Physical and Cyber Domains  2 Analysis and Modeling of Physical Systems  3 Actuators, Sensors and Electronics  4 Identification of Dynamic Systems  5 Multi-Input Multi-Output Systems: Control and Optimization  6 Design, Control and Optimization of Nonlinear Dynamic Systems  7 Information Analysis and Analytics

Panigrahi, Narayan | Tripathy, Smita

Intelligent & Automated Transport System Technology

This book explains unmanned systems including unmanned aerial vehicles (UAV), autonomous under water vehicles (AUV), and unmanned ground vehicles (UGV). It also details their basic design, components/sub-components, sensors, employed payloads, and communication systems.

Chapter 1: Introduction to Unmanned Autonomous Systems (UAS)
Chapter 2: Crafting an Unmanned Aerial Vehicle (UAV)
Chapter 3: Designing the fuselage, wing, propulsion, and empennage of a fixed-wing UAV
Chapter 4: Application-specific UAVs and their requirements
Chapter 5: Classifications of different UAVs
Chapter 6: Counter-UAS systems
Chapter 7: Design criteria of a UAV for photogrammetry and ISTAR applications
Chapter 8: Autonomous Underwater Vehicles (AUVs)
Chapter 9: Essential design concepts of AUVs
Chapter 10: Unmanned Ground Vehicles (UGVs)
Chapter 11: Crafting a UGV
Chapter 12: Algorithms, control, and software used for UAS missions

Wang, Wei | Long, Jiang | Huang, Jiangshuai | Wen, Changyun

Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems

Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring.
 

Chapter 1 Introduction
Chapter 2 Preliminaries
SECTION I Consensus Control under Directed
Graph
Chapter 3 Distributed Adaptive State Feedback Control with Linearly
Parametric Reference
Chapter 4 Auxiliary Filters based Distributed Adaptive Consensus Control
Chapter 5 Hierarchical Decomposition based Distributed Adaptive Consensus
Control
SECTION II Finite-time Consensus Control
Chapter 6 Adaptive Finite-time Consensus for Uncertain Nonlinear Mechanical
Systems
SECTION III Consensus Control with
Event-triggered Communication
Chapter 7 Distributed Event-triggered Adaptive Control: Leader-following
Case
Chapter 8 Distributed Event-triggered Adaptive Control: Leaderless Case
Chapter 9 Distributed Event-triggered Adaptive Output Feedback Control
SECTION IV Applications
Chapter 10 Distributed Adaptive Formation Control of Nonholonomic
Mobile Robots
Chapter 11 Distributed Event-triggered Adaptive Attitude Synchronization of
Multiple Spacecraft
 

Instrumentation, Measurement & Testing

Diversity-Driven Evolutionary Algorithms For Solving Engineering Problems explores optimization algorithms and their applications across diverse engineering domains.

About the Author. 1. Introduction. 2. Diversity-Driven Multi-Parent Evolutionary Algorithm. 3. Diversity-Driven Multi-Parent Evolutionary Algorithm with Different Mutation. 4. Diversity-Driven Multi-Parent Evolutionary Algorithm for Digital Filter Design. 5. Diversity-Driven Multi-Parent Evolutionary Algorithm in Fault Diagnosis. 6. Application of Diversity-Driven Multi-Parent Evolutionary Algorithm in WSN. 7. Conclusions and Scope for Future Research. References. Index.

Wan, Xiongbo | Wang, Zidong | Wu, Min

Dynamic Event-Triggered Fault Diagnosis, State Estimation, and Predictive Control for Networked Systems

This book introduces novel Dynamic Event-Triggered Mechanisms (DETMs) for complex networked systems that optimize resource utilization. These include hybrid dynamic variables-dependent, hybrid adjusting variables-dependent, bounded dynamic variable/time-varying threshold-dependent and terminal constraint mechanisms.

1. Introduction 2. Fault Diagnosis for Networked Switched Systems: An Improved Dynamic Event-Based Scheme 3. Finite-Time Fault Detection Under Deception Attacks: A Hybrid Dynamic Variables-Dependent Event-Based Scheme 4. Hybrid Adjusting Variables-Dependent Event-Based Finite-Time State Estimation for Two-Time-Scale Markov Jump Complex Networks 5. Hybrid Dynamic Variables-Dependent Event-Triggered Fuzzy Model Predictive Control 6. Hybrid Variables-Dependent Event-Triggered Model Predictive Control Subject to Polytopic Uncertainties 7. Hybrid Variables-Dependent Event-Based Efficient Model Predictive Load Frequency Control for Power Systems 8. Networked Output-Feedback MPC: A Bounded Dynamic Variable and Time-Varying Threshold-Dependent Event-Based Approach 9. A Terminal Constraint Set-Dependent Mixed Time/Event-Triggered Approach to Multi-Step Fuzzy MPC 10. Conclusions and Future Topics

Qu, Bogang | Wang, Zidong | Shen, Bo

Dynamic State Estimation for Power Systems under Unconventional Measurements

This book presents advanced Dynamic State Estimation (DSE) methodologies across three power system classes: quasi-steady power systems, synchronous-generator-based multi-machine systems and renewable energy microgrids including unconventional measurements as time-delays, multi-rate measurements, and so forth.

1. Introduction 2. Outlier-Resistant Recursive State Estimation for Renewable Energy Microgrids 3. Distributed State Estimation for Renewable Energy Microgrids with Sensor Saturations 4. Event-Based Joint State and Unknown Input Estimation for Multi-Machine Power Grids 5. Decentralized Dynamic State Estimation for Multi-Machine Power Systems with Non-Gaussian Noises and Outliers 6. Secure Particle Filtering for Multi-Machine Power Grids under Paillier Encryption-Decryption Scheme 7. Fusion Estimation for A Class of Multi-Rate Power Systems with Randomly Occurring SCADA Measurement Delays 8. Anomaly-Resistant Decentralized State Estimation under Minimum Error Entropy with Fiducial Points for Wide-Area Power Systems 9. Conclusion and Further Work

Electric Drives, now at 4th edition, provides a practical guide in understanding the fundamental principles and recent new knowledge of electric motion (in motoring) and electric energy flow (in generating) digital control via power electronics for energy savings and increased productivity in practically all industries.

1 Energy Conversion in Electric Drives. 2. Electric Motors and Power Electronics Converters for Drives: An Introduction 3. D.C. Brush Motors Drives. 4. Closed -Loop Motion Control in Electric Drives. 5. Induction Motors for Drives. 6. PWM Inverter-Fed Induction Motor Drives. 7. Synchronous Motors for Drives. 8. PM and Reluctance Synchronous Motor Drives. 9. Flux-Modulation Electric Motor/Generator Drives. 10. Practical Issues with PWM Converter Motor Drives  11. Large-Power Drives   12. Control of Electric Generators. 13. Scalar V/f and I–f Control of A.C. Motor Drives: An Overview  14. Multiphase Electric Machine Drives: An Overview  15. Predictive Control in Electric Drives: An Overview 

Yang, Yi | Yu, Yong-Li | Wang, Li-Chao

Fluctuation Mechanism and Control on System Instantaneous Availability facilitates the development of modeling and identification skills for both theoretical research and applications. Supplying an overall summary of current research results in fluctuation analysis of instantaneous availability, it covers the theory, methodology, and specific engineering implementation required to conduct equipment instantaneous availability analysis. Presenting practical methods and tools, it describes how to control the matching transition of new equipment systems as a result of interactions among sub-systems.

Introduction. Concepts Related to System Availability. Approximate Solution and Its Problem for General Continuous Availability Model. Instantaneous Availability Model of Discrete-Time System under General Probability Distribution. Instantaneous Availability Model of System with Finite Time Restrained and Proof of Its Stability. Analysis and Control Method for Volatility of System Instantaneous Availability. Comparative Analysis on Discrete-Time Instantaneous Availability Models under Exponential Distribution. Analysis of Instantaneous Availability Fluctuation under Truncated Discrete Weibull Distribution. Optimal Design of Instantaneous Availability Fluctuation under Truncated and Discrete Weibull Distribution. Conclusions and Prospects. References. Index.

Immersive technology is going to govern the next generation in terms of education, health, military, tourism, and much more. Through its comprehensive exploration, didactic approach, and insightful analyses, this book provides an invaluable resource for understanding and harnessing the power of immersive technology.

1. Introduction to Immersive Technologies. 2. Exploring Augmented Reality (AR) and Virtual Reality (VR) Technologies. 3. Unified Realities: MR and XR Fusion. 4. Elevating the Workplace with Cutting-Edge Technologies. 5. Environmental Impacts of Immersive Technologies: A Sustainable Perspective. 6. Embracing Tomorrow: Exploring the Dynamic Nexus of Immersive Tech and IoT. 7.Stargazing beyond Borders: Journeying into the Cosmos with Immersive Technologies. 8. Beyond the Classroom: Immersive Technologies Revolutionizing Education. 9. Sculpting Change: Immersive Technologies Shaping Social Impact. 10. Immersive Innovations: Harnessing Technology for Enterprise Success. 11. Echoes of Innovation: Unveiling the Power of Digital Twins. 12. Metaversal Marvels: Immersive Technologies Shaping Virtual Realities. 13. Case Studies Unveiling Immersive Technology's Impact.

Park, Hoon Cheol | Phan, Hoang-Vu

This book provides the whole design process and details of a two-winged tailless flapping-wing robot. It shares experience in bioinspiration related to the development of the KUBeetle. It explains aerodynamic forces using the unsteady blade element theory (UBET) and computational fluid dynamics (CFD) with commercial software ANSYS Fluent. 

Instrumentation, Measurement & Testing

This book describes both theory and practice of optical techniques to measure various parameters encountered routinely in science and engineering.

Chapter 1 Introduction to Optics Chapter 2 Laser Beams Chapter 3 Sources, Detectors, and Recording Media Chapter 4  Interferometry Chapter 5 Holography and Digital Holography Chapter 6 Speckle Phenomenon, Speckle Photography, and Speckle Interferometry Chapter 7 The Moiré Phenomenon Chapter 8 Photoelasticity Chapter 9 Microscopy Chapter 10 Measurement of Refractive Index Chapter 11 Measurement of Radius of Curvature and Focal Length Chapter 12 Optical Testing Chapter 13 Angle Measurement Chapter 14 Thickness Measurement Chapter 15 Measurement of Velocity Chapter 16  Pressure Measurement Chapter 17 Temperature Measurement Chapter 18 Fiber-Optic and MEMs-Based Measurements Chapter 19 Length Measurement

Instrumentation, Measurement & Testing

Smart-grid is the new generation of the power gird that has been advocated to increase the reliability of the grid and to reduce carbon footprint by integrating distributed resources.  Microgrid technology allows for the integration of renewables energies. Microgrids are either AC or DC. 

PART 1: FUNDAMENTALS AND TECHNOLOGIES. Architectures and Technologies for DC Microgrid. Internet-of-Things-Based Communication in Microgrids. Blockchain Technology for DC Microgrids. Digital Twin Framework for Monitoring, Controlling and Diagnosis of Photovoltaic DC Microgrids. From Microgrids to Virtual Power Plants: A Cybersecurity Perspective. An Overview of Artificial Intelligence Driven Li-Ion Battery State Estimation. Addressing Societal Challenges and Enhancing Academic Effectiveness through Challenge-Driven Education: A Case Study in Smart Microgrid. PART 2: DESIGN AND OPTIMIZATION. Development and Evolution of Hybrid Microgrids in the Context of Contemporary Applications. Formal Methods for Microgrids. Direct Current Microgrids: A Business Model Perspective. Index.

Jafri, Noman | Shafi, Imran | Zaman, Uzair Khaleeq uz | Kumar, Atal Anil

This textbook examines classical and modern control strategies toward systems' best performance, especially concerning design and operations. It simplifies control theory concepts through related mathematics and examples of real-life systems worldwide.

1. Linear Control System. 2. Laplace Transform. 3. Modeling of Control System-Transfer Function Approach. 4. Modeling of Control Systems - Signal Flow Graph Approach. 5. System Types and Steady-State Error Description. 6. Time Response Analysis. 7. Stability of Linear Systems. 8. Control System Analysis and Design by Root Locus Analysis. 9. Frequency Domain Analysis of Control Systems. 10. State Variable Method for Analysis of Control Systems. 11. Modern Methods for Analysis of Control Systems. 

Song, Yan | Wang, Zidong | Zhang, Bin

Model Predictive Control (MPC) has advanced as a robust method for managing complex dynamic systems, surpassing traditional control strategies in performance and constraint handling. This book explores MPC theory and applications, focusing on robust MPC (RMPC) for systems with uncertainties.

1 Introduction  2 H2/H8 MPC for Polytopic Uncertain under Weighted MEF-TOD Protocol  3 Security-based MPC for Polytopic Uncertain Systems Subject to Deception Attacks and Round-Robin Protocol  4 N-Step MPC for Uncertain Systems with Persistent Bounded Disturbances under Stochastic Communication Protocol  5 Observer-Based N-step MPC for Networked Control Systems under Encoding-Decoding Communication Protocol    6 Resilient Robust MPC for Markovian Jump Switching Systems under Asynchronous Detected Scenario    7 Asynchronous Constrained MPC for Markovian Jump Switching Systems: An Optimizing Prediction Dynamics Approach  8 Efficient MPC for Nonlinear Systems in Interval Type-2 T-S Fuzzy Form under Round-Robin Protocol    9 Efficient MPC for Nonlinear Systems in Interval Type-2 T-S Fuzzy Form under Stochastic Communication Protocol  10 Resilient MPC for Cyber-Physical Systems with State Saturation under TOD Protocol: An ADT approach  11 Conclusions and Future Topics 12 Bibliography

Geng, Hang | Wang, Zidong | Cheng, Yuhua

Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment

Instrumentation, Measurement & Testing

This book presents the up-to-date research developments and novel methodologies on Multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment.

1.Introduction 2. Optimal Filtering for Networked Systems with Channel Fading and Measurement Censoring 3. Tobit Kalman Filter with Time-Correlated Multiplicative Sensor Noise Under Redundant Channel Transmission 4. State Estimation Under Non-Gaussian Lévy and Time-Correlated Additive Sensor Noise 5. Protocol-Based Filter Design Under Integral Measurement and Probabilistic Sensor Failure 6. Distributed Filtering Fusion over Packet-Delaying Networks Subject to Censored Data 7. Federated Filtering Fusion with Dead-Zone-Like Censoring and Dynamical Bias Under Round-Robin Protocol 8. Multi-Sensor Filtering Fusion with Parametric Uncertainty and Measurement Censoring 9. Protocol-Based Filtering Fusion for State-Saturated Systems with Dead-Zone-Like Censoring Under Deception Attacks 10. Variance-Constrained Filtering Fusion for Nonlinear Cyber-Physical Systems Under Stochastic Communication Protocol 11. Conclusion and Furture Topics

Radhakrishnan, Rahul | Ozana, Stepan

Mathematics & Statistics for Engineers

This monograph aims to present the recent advances in state estimation, in terms of relaxing the conventional assumption that probability densities remain Gaussian. The book explains how MCC is integrated into the conventional Bayesian estimation framework and their implementation to real-life problems.

1. Introduction 2. Estimation With Weighted Least Squares 3. Recursive State Estimation: Linear Systems 4. Nonlinear State Estimation 5. Maximum Correntropy Algorithms For Nonlinear Systems 6. Maximum Correntropy Algorithms For Non-Gaussian Systems 7. Angles-Only Target Tracking 8. Tracking And Interception Of Ballistic Target On Re-entry 9. Application To Process Control: Quadruple Tank System

Instrumentation, Measurement & Testing

This book reviews optical phenomena, types of optical fiber, fiber-optic sensing system, types of laser sources used in sensor and the development of some novel mechanisms pertaining to fiber optic sensors.

1.Introduction To Light Source And Optical Fiber Sensors 2. Prospects Of Optical Fiber Sensor Using Photonic Crystal Fiber (PCF) And Applications 3. Laser And Various Applications In Optical Sensing 4.  Fibre Sensors – Reflections on Achievements and Aspirations  5. Silicon Photonics-Based Guided Wave Gas Sensors And Components For the Mid-IR 6. Acoustic Emission Sensing Based On Fiber Bragg Grating Sensors 7. Nanoscale Hybrid Plasmonic Waveguide Based Sensing Devices 8. Sensors Based On Metallic Grating Assisted Surface Plasmons 9. Overview of doped specialty optical fibers for use as a sensor 10.  Present Status in Humidity and Moisture Sensing with Fiber Optics. 11.  Prospects for Fiber Loop Ringdown Spectroscopy for physical and chemical sensing 12. A new technique for the development of side polished optical fiber and used as biochemical sensor. 13.  Fibre-Optic Interferometric Sensors for Non-contact Vibration Measurement 14. Application Of Vibration Sensors In Techno-Commercial Applications

Instrumentation, Measurement & Testing

Overviews innovative technologies and current applications of photonic sensors for biomedical applications. Covers areas such as biosensors, surface plasmon resonance (SPR) sensors, one- and two-dimensional photonic crystals for sensing and detection applications, muscle strength monitoring using optical sensors, and many more.

1. Photonics: An Overview 2. Fundamental Concept of Biosensors 3. Biomedical Photonic Sensors: Enhancing Healthcare, Medical Diagnosis, Monitoring, and Treatments 4. 2D Photonic Crystal Biosensors for Blood Infection Detection and Its Case Studies 5. Photonic Crystal-Based Biosensor for Glucose Surveillance in Urine and Blood 6. Silicon-Based Photonic Crystal Cavities and Waveguides for Sensing Applications 7. Surface Plasmon Resonance (SPR)-Based Biosensor for Sugar Monitoring via Urine Samples 8. Design of Optical Bio-Microarray for Cancer DNA Analysis 9. Plantar Pressure Detection Using Optical Sensor for the Human Body 10. FBG-Based Device for the Quantification of Muscle Strength 11. A Comprehensive Study of Modeling Biosensors Utilizing Optical Fibers for Public and Environmental Health 12. Use of AI in Photonics 13. AI-Enhanced Photonic Crystal Biosensors for Glucose Monitoring 14. Future of Photonics Biosensor

Physics-Generated AIs of Robust Nonlinear Filter and Control Designs for Complicated Man-Made Machines

This book introduces a robust H8 physical generative AI-driven filter and controller, along with a nonlinear Luenberger observer model and a state estimation error dynamic model, to effectively address HJIEs for robust H8 state estimation (filtering) and reference trajectory tracking control in nonlinear stochastic systems.

1. Introduction to Physics-Generated AI-Driven Filter and Control Scheme of Nonlinear Stochastic Systems of Man-Made Machines 2. Physics-Generated AI-Driven H8 Stabilization Control Scheme of Nonlinear Time-Varying Dynamic Systems with Its Application to Quadrotor UAV Tracking Control Design 3. Robust H8 Physics-Generated AI-Driven Filter Design of Nonlinear Stochastic Systems: with Application to Radar Detection of Incoming Missile 4. Physics-Generated AI-Driven Mixed H2/H8 Filter Design of Nonlinear Stochastic Systems for the Trajectory Estimation of Incoming Ballistic Missile 5. Physics-Generated AI-Driven Robust H8 Observer-Based Reference Tracking Control Design of Nonlinear Stochastic Systems with Application to Reference Trajectory Estimation and Tracking Control of Quadrotor UAV 6. Physics-Generated AI-Driven H2/H8 Observer-Based State Regulation Control for Nonlinear Stochastic Systems with Application to Anti-Missile Guidance Control System 7. Robust Physics-Generated AI-Driven H8 Attack-Tolerant Localization Filter-Based Path Tracking Control Design of Mobile Robot via Wireless Sensor Networks in the Intelligent Buildings and Smart Cities 8. Physics-Generated AI-Driven Decentralized H8 Team Formation Tracking Control for Large-Scale Biped Robots 9. Physics-Generated AI-Driven H8 Decentralized Attack-Tolerant Observer-Based Team Formation Network Control System of Large-Scale Quadrotor UAVs 10. Decentralized H8 Physics-Generated AI-Driven Observer-Based Attack-Tolerant Formation Tracking Network Control of Large-Scale LEO Satellites

Martell, Fernando | Sanchez, Irma Y.

Automotive Technology & Engineering

Production processes and engineered systems involve continuous and discrete variables, and the combination of continuous and sequential operation regimes. This volume covers both aspects thus provides substantial knowledge in continuous and discrete control, logic control, as well as hybrid control systems.

Preface. Mechatronic Systems. Industrial Automation and Control. Discretization of Linear Systems. System Identification. State Space Modeling.  PID Control. Model-Based Control. Multiple Loop Control Schemes. Digital Control Design. PLCs and Sequential Logic Control. Logic Control with State Machines. Multilevel Automation. Hybrid Dynamical Control. Cyber Physical Systems. Index.

Vasilevskyi, Oleksandr | Cullinan, Michael

Instrumentation, Measurement & Testing

Quantitative Evaluation of Measurement Uncertainty: Theory and Practice provides comprehensive coverage of dynamic, direct, indirect, and combined measurements, giving a complete perspective on measurement uncertainty. It features pioneering approaches to evaluating uncertainty in dynamic measurements.

1. Concept of evaluating measurement result uncertainty.  2. Varieties of measurement uncertainty.  3. Evaluation of research results based on the concept of measurement uncertainty.  4. Practical recommendations and examples of evaluating uncertainty components.  5. Uncertainty in Dynamic Measurements.  6. Evaluation of trueness and precision of laboratory test results.  

Electrical & Electronic Engineering

The creation of complex integrated systems is, in itself, complex. It requires immense planning, a large team of people with diverse backgrounds, based in dispersed geographical locations (and countries) supposedly working to a coordinated schedule and cost.

1. An Overview of Complex System Design. PART 1 System Planning 2.  Requirements Types – Design and Test. 3. Project Planning. 4. System Decomposition. 5. Systems Engineering Vee. 6. Economics of Design and Test. 7. Cyber-Physical Systems. 8. Logistics and Supply Chain Management. PART 2 System Design 9. Chip Level Design and Test. 10. Board-Level Design and Test. 11. Power Distribution. 12. Design Patterns and Reusability. 13. Test-Driven Development. PART 3 System Analysis 14. Reliability. 15. Availability. 16. Maintainability. 17. Performance Evaluation. 18. Optimizing Complex Systems Operation. PART 4 System Testing 19. Types of Testing. 20. Software Text. 21. Error Handling. 22. Automated Test Systems Design. 23. Interoperability. PART 5 System Health 24.Uncertainty and Uncertainty Propagation. 25. Fault Detection, Localization, and Isolation. 26. Risk and Risk Analysis. 27. Risk-Based Prognostics and Health Management. 28. Structural Health Monitoring. PART 6 System Security 29. Risk Management Framework. 30. Information Assurance, Vulnerability Analysis, and Remediation. 31. Cryptographic Systems. 32. Software Security. PART 7 System Usage 33. Human Systems Interaction - Interface Design. 34. Human and Privacy Rights. 35. Humanitarian Well-Being. 36. The Social Impacts of Complex Systems.

This book demonstrates how quantitative resilience methodologies can be applied to a wide range of space systems as an extension of conventional systems engineering processes. It addresses the full spectrum of threats facing modern space systems and provides a comprehensive framework for ensuring mission continuity.

1. The Space System.  2. Defining and Evaluating Resilience.  3. Threats.  4. Threat Mitigation.  5. Systems Engineering and Resilience.  6. Modeling and Calculating Resilience.  7. Designing for Resilience.  8. Applying Resilient Design Techniques.  9. The Future of Resilient Space System Design.  10. References.  

Cao, Kai | Chen, ChaoBo | Gao, Song | Chen, YangQuan

With the help of a Voronoi diagram, this book systematically discusses how to solve the core cooperative control problem in a multi-robot system. From basic theory to cutting-edge applications, the book provides a comprehensive overview of the subject matter, offering readers a rigorous and practical knowledge system.

1. Introduction  2. Geometric Properties and Computational Methods  3. Multi-Robot Cooperation and Formation  4. Multi-Robot Formation Switching  5. Multi-Robot Safety and Collision Avoidance  6. Multi-Robot Source Search and Coverage Control  7. Multi-Robot System Optimization and Health Management  8. Multi-Robot Capture  9. Reinforcement Learning and Multi-Robot Capture  10. Multi-Robot Physical Implementation  11. Conclusions and Future Prospects

Robust H8 Team Formation Tracking Design Methods of Large-Scale UAV Networked Control Systems

This book introduces the centralized robust H8 team formation tracking control strategy of multi-UAV network system under intrinsic random fluctuation, time-varying delay and packet dropout in wireless communication, and external disturbance.

1. An Introduction to Large-Scale Quadrotor UAV Networked Control System 2. Robust H8 Team Formation Tracking Control of Stochastic Multi-Quadrotor UAV Networked Control System 3. Stochastic Robust H8 Team Formation Tracking Design of Multi-Quadrotor-UAV Networked Control System under Time-Varying Delay and Random Fluctuation in Smart City 4. Decentralized H8 PID Team Formation Tracking Control of Large-Scale Quadrotor UAVs under External Disturbance and Vortex Coupling 5. Stochastic Decentralized H8 Tracking Control of Large-Scale Team Formation UAV Networked Control System with Time-Varying Delay and Packet Dropout Under Interconnected Coupling and Wiener Fluctuation 6. DNN-Based H8 Decentralized Attack-Tolerant Team Formation Tracking Design of Large-Scale UAV Networked Control System Under Time-Varying Delay and Interconnected Coupling 7. Integrating Local Motion Planning and Robust Decentralized Fault-Tolerant Tracking Control for Search and Rescue Task of Hybrid UAVs and Biped Robots Team System

Sensors & Instrumentation and Aircraft/Aerospace Testing Techniques, Vol. 8

Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics 2025

Instrumentation, Measurement & Testing

Sensors & Instrumentation and Aircraft/Aerospace Testing Techniques, Volume 8:  Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics, 2025, the eighth volume of twelve from the Conference brings together contributions to this important area of research and engineering.

1 X-57 Mod III Wing Ground Vibration Test
2 Exploring the Capabilities of Open-Source Hard- and Software for Experimental Dynamics in Rotating Systems
3 Investigation of Output Metrics for Dynamic Topology Optimization of PCB Reinforcement
4 Towards a Digital Twin for the Condition Based Maintenance of a Hawk T1A Aircraft
5 Operational Modal Analysis of Satellites using Direct-field Acoustic Test Data
6 The Impact Calibration Technique for Piezoelectric Force Sensors
7 USB Connectivity for Harnessing High-Quality Digital Sensor Data
8 Investigation of Experimental Modal Substructuring for Constrained Modal Testing of Aerospace Structures

Instrumentation, Measurement & Testing

This book examines shellac's evolution from early visual applications through Emile Berliner's discovery of its audio properties to its contemporary artistic uses

Introduction: From material culture to the materials of culture, Chapter 1. Sheen: Early stories and circulation of shellac, Chapter 2. Crackle: Assembling the record, Chapter 3. Mirrors: Phono-fetishism and intersensory visions, Chapter 4. Detonations: Shellac at war, Chapter 5. Shards: Waste, obsolescence, and contemporary remediations, Conclusion: Sonic sculptures, Index.

Offering a holistic view of the pioneering trends and innovations in Smart Healthcare Management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era.

1. Role of Big Data Analysis for Smart Healthcare in Large Cities.  2. Machine Learning-Based Inconsistency Detection in Medical Data.  3. A Perspective on Improvements in Segmentation Image Processing in Healthcare Datasets.  4. Health Risk Analysis Based on Embedded IoT Data and Machine Learning.  5. A Comparison and Analysis of Risk Based on IoT and Healthcare.  6. Biomechanics Features-Based IoT and Machine Learning For Orthopedic Patients.  7. Healthcare-Based Human Activity Recognition and Transportation Mode Detection Using IoT Sensors.  8. A Study of Metaverse on Medicare Analysis Using Healthcare Analysis.  9. Blockchain and IoT Sensors in Healthcare 5.0.  10. Role of Cloud Computing in Healthcare Sector.  11. Challenges Faced by AI in Healthcare and Future Opportunities.  12. Privacy and Security Consideration in Healthcare: Navigating the Challenges of IoT and Ubiquitous Computing.  13. Empowering Harvest - Unlocking the Secrets to Optimal Health.  14. Violence-Based Object Detection in Streets for Effective Monitoring of Safe Environments.  15. COVID Safety Compliance Detection to Determine Locations with High Probability of Spread of Infection. 16.  Transfer Learning and Chest X-Ray-Based Image Processing and Modeling to Detect COVID-19.

DeLaurentis, Daniel A. | Moolchandani, Kushal | Guariniello, Cesare

This book provides the reader with motication, theory, methodology, and examples of modeling and analysis for system of system problems. The book is intended for senior undergraduate students in engineering programs studying system of systems modeling, system of systems analysis, and system of systems engineering courses.

Section I: System of Systems Theory and Process for Modeling and Analysis. 1. What is a System of Systems? 2. What is System of Systems Engineering? 3. A Formal Process of SoS Modeling and Analysis. Section II: Methods and Tools for System of Systems Modeling and Analysis. 4. Bridging Theory and Practice. 5. Network Theory. 6. Agent-Based Modeling. 7. Specialized Methods and Tools for System of Systems Engineering. 8. Enhancing System of Systems Engineering. Section III: Examples of Application of SoS Modeling and Analysis. 9. Advanced Air Transportation of System of System. 10. Human Space Exploration System of System. Glossary.

Industrial Engineering & Manufacturing

This textbook continues to fill the need for a systems engineering design textbook for students from a large variety of backgrounds. This new edition continues to give students exposure to systems and systems engineering concepts and offers just enough technical expertise to use and apply what they've learned.

Section I: Systems and Systems Engineering Concepts. 1. Introduction: Systems and Systems Engineering. 2. Systems Life Cycle and Design Processes. Section II: Systems Methods, Models, and Analytical Techniques. 3. Systems Requirement Analysis. 4. Functional Analysis and System Design Models. 5. System Technical Performance Measures. 6. Decision-Making Models in Systems Engineering. 7. System Optimization Models. 8. Process Modeling Using Queuing Theory and Simulation. 9. Engineering Economy in Systems Engineering. Section III: Systems Management and Control Methods. 10. Systems Management and Control.

Volume 1 and Volume 2 of the two-volumes book “Target Tracking by Airborne Radar Systems” provides a classified approach to designing and construction principles, algorithms and procedures of synthesis and analysis of the airborne radar target tracking systems by the target range, velocity and azimuth satisfying all long-term requirements.

Vol 11. Design and Analysis of on-Board Data Processing and Control System 2. Optimal Control Algorithms for Airborne Radio Electronic Systems 3. Methods and Algorithms of Optimal Estimation 4. Integrated On-Board Information and Control Systems 5. Guidance on Aircraft and Missile. Trajectory Control Algorithms 6. New Generation of Airborne Radar Systems 7. Operation Modes of Airborne Radar Systems 8. Target Range and Its Derivative Estimation at the Single Target Tracking Mode 9. Optimization of Single Air Target Tracking Modes by Range and Its Derivatives. Estimation of Air Target Range and Its Derivatives by Multistatic Radar 10. Design and Operation of Airborne Radar System Azimuthal Channels and Radar Homing Head 11. Optimization of Angle Track on Single Target Modes 12. Detection of Air Target Maneuvering and Adaptation of Auto Target Tracking Filters 13. Noise Immunity under Single Target Tracking by Airborne Radar Systems 14. Optimization of Tactical and Information Airborne Radar System Modes due to Trajectory Control by Observation 15. Estimations of Surface Target Coordinates
Vol 2 1. Air Target Tracking by Integrated Information-Controlling Systems 2. Multitarget Tracking by Airborne Radar Systems 3. Optimization of Multitarget Tracking Stages by Airborne Radar Systems 4. Tailored Algorithms of Multitarget Tracking 5. Simplified Algorithms of Multitarget Tracking 6. Multitarget Tracking by Multistatic Radar Systems 7. Tracking The Large Group of Air Targets 8. Multitarget Tracking in Noise