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 mechanismsReviews comprehensive research results on dynamic event-triggered fault diagnosis, state estimation, and MPCExplores how these theories can be applied to the practical engineering problem of load frequency control in power systemsDiscusses complex factors including cyber-attacks, multiple timescales, jumping system parameters, hard constraints, polytopic uncertainties, nonlinearities, and limited network/computing resourcesIncludes 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.