PID Control and PI State Estimation for Complex Networked Systems by Di Zhao, Zidong Wang, Guoliang Wei
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.
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.
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