Networked and Event-Triggered Control Approaches in Cyber-Physical Systems

The insertion of communication networks in feedback control loops complicates analysis and synthesis of cyber-physical systems (CPSs), and network-induced uncertainties may degrade system control performance. Thus, this book researches networked delay compensation and event-triggered control approaches for a series of CPSs subject to network-induced uncertainties.

The authors begin with an introduction to the concepts and challenges of CPSs, followed by an overview of networked control approaches and event-triggered control strategies in CPSs. Then, networked delay compensation and event-triggered control approaches are proposed for CPSs with network communication delay, data dropout, signal quantization, and event-triggered communication. More specifically, networked delay compensation approaches are proposed for linear/nonlinear networked controlled plants with time-varying and random network communication delays and data dropouts. To reduce computational burden and network communication loads in CPSs, event-triggered control, self-triggered control, co-design of event-triggered control and quantized control techniques, and event-triggered disturbance rejection control approaches are also presented.

This book is an essential text for researchers and engineers interested in cybersecurity, networked control, and CPSs. It would also prove useful for graduate students in the fields of science, engineering, and computer science.

Jinhui Zhang is currently a Professor at Beijing Institute of Technology, China. His research interests include networked control systems, composite disturbance rejection control, and biomedical engineering.

Yuanqing Xia is currently a Professor at Beijing Institute of Technology, China. His research interests are in the fields of networked control systems, robust control and signal processing, and active disturbance rejection control.

Zhongqi Sun is currently an Assistant Professor at Beijing Institute of Technology, China. His research interests include multi-agent systems, model predictive control, machine learning, and robotic systems.

Duanduan Chen is currently a Professor at Beijing Institute of Technology, China. Her research focuses on biomechanics, computer simulation, and complex system analysis and control.