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

The four novel Dynamic Event-Triggered Mechanisms (DETMs) in this book are for complex networked systems that optimize resource utilization while preserving system performance. These include hybrid dynamic variables-dependent ETMs, hybrid adjusting variables-dependent ETMs, bounded dynamic variable/time-varying threshold-dependent ETMs, and terminal constraint set-dependent mixed time/event-triggered mechanisms. It explores applications across fault diagnosis in networked systems, finite-time state estimation for complex dynamical networks, and MPC implementation.
Presents a systematic study on dynamic event-triggered mechanisms Reviews comprehensive research results on dynamic event-triggered fault diagnosis, state estimation, and MPC Explores how these theories can be applied to the practical engineering problem of load frequency control in power systems Discusses complex factors including cyber-attacks, multiple timescales, jumping system parameters, hard constraints, polytopic uncertainties, nonlinearities, and limited network/computing resources Includes numerous simulations and examples to validate the theoretical results including single-link rigid robot model systems, motor systems, and power systems.
This book is aimed at graduate students and researchers in control systems, computer sciences, and signal processing.