PID Control and PI State Estimation for Complex Networked Systems

Di Zhao, Zidong Wang, Guoliang Wei

• Publisher: CRC Press
• Year: 2026
• Print ISBN:
  9781041168126
• eBook ISBN:
  9781040810965
• Edition: 1
• Topic: Technology & Engineering
• Index: Technology & Engineering

This book explores PID control and PI state estimation for complex networked systems facing network-enhanced challenges including fading measurements, time-delays, packet dropouts, and cyber-attacks including PID control problems, PI state estimation and neural networks.

It addresses output-feedback control, observer-based control, tracking control, and state estimation across different network conditions, implementing solutions for resource constraints, outlier resistance, and partial measurement scenarios using MATLAB simulations.

Key features

• Presents systematic research on the PID control problem based on the state space method for networked systems
• Contains everything needed to capture the essence of design and performance evaluation for PID controllers and PI estimators
• Covers security aspects of encoded transmissions, encompassing encryption protocols and cyber-physical attack resilience
• Addresses issues such as network-induced complexities, cybersecurity threats, and adaptive control strategies
• Emphasizes flexible, reliable, and practical solutions for real-world systems, bridging theoretical rigor with engineering applications

This book is aimed at graduate students and researchers in control science and engineering, signal processing, and computer science.

Table of contents

• Cover Page
• Half-Title Page
• Title Page
• Copyright Page
• Dedication Page
• Contents
• Preface
• Author Bios
• List of Figures
• List of Tables
• Acknowledgements
• Symbols
• List of Acronyms
• 1 Introduction
• 2 PID Output-Feedback Control under Incomplete Measurements
• 3 Observer-Based PID Control under Cyber-Attacks
• 4 PID Tracking Control under Multiple Description Encoding Mechanisms
• 5 PI State Estimation under Constrained Bit Rate: An Encoding Decoding Approach
• 6 PI State Estimation under Deception Attacks: An Outlier-Resistant Approach
• 7 PI State Estimation under Round-Robin Protocol
• 8 PI State Estimation for Recurrent Neural Networks under Incomplete Measurements
• 9 Partial-Neurons-Based PI State Estimation for Artificial Neural Networks under Multiple Description Encoding Mechanisms
• 10 Conclusions and Future Work
• Bibliography
• Index