New Dynamic Event-Triggered Fault Diagnosis, State Estimation and MPC for Complex Networked Systems

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New Dynamic Event-Triggered Fault Diagnosis, State Estimation and MPC for Complex Networked Systems

Wan, Xiongbo/ Wang, Zidong/ Wu, Min

ウェブストア価格 ¥48,012（本体¥43,648）
CRC Press（2026/04発売）
外貨定価 US$ 220.00
ポイント 436pt

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製本 Hardcover:ハードカバー版／ページ数 240 p.
言語 ENG
商品コード 9781041165378

Full Description

This book introduces four novel Dynamic Event-Triggered Mechanisms (DETMs) 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 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.

1. Introduction 2. Fault Diagnosis for Networked Switched Systems: An Improved Dynamic Event-Based Scheme 3. Finite-Time Fault Detection Under Deception Attacks: A Hybrid Dynamic Variables-Dependent Event-Based Scheme 4. Hybrid Adjusting Variables-Dependent Event-Based Finite-Time State Estimation for Two-Time-Scale Markov Jump Complex Networks 5. Hybrid Dynamic Variables-Dependent Event-Triggered Fuzzy Model Predictive Control 6. Hybrid Variables-Dependent Event-Triggered Model Predictive Control Subject to Polytopic Uncertainties 7. Hybrid Variables-Dependent Event-Based Efficient Model Predictive Load Frequency Control for Power Systems 8. Networked Output-Feedback MPC: A Bounded Dynamic Variable and Time-Varying Threshold-Dependent Event-Based Approach 9. A Terminal Constraint Set-Dependent Mixed Time/Event-Triggered Approach to Multi-Step Fuzzy MPC 10. Application Discussions and Future Research Topics