1.

Record Nr.

UNINA9910624379203321

Autore

Zhu Jun-Wei

Titolo

Fault estimation for network systems via intermediate estimator / / Jun-Wei Zhu, Xin Wang and Guang-Hong Yang

Pubbl/distr/stampa

Singapore : , : Springer, , [2022]

©2022

ISBN

981-19-6321-5

Descrizione fisica

1 online resource (191 pages)

Disciplina

629.8312

Soggetti

Control theory

Computer system failures - Prevention

Fault-tolerant computing

Teoria de control

Tolerància als errors (Informàtica)

Llibres electrònics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references (pages 177-186) and index.

Nota di contenuto

Intro -- Preface -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction -- 1.1 Background -- 1.2 Basic Concepts in Fault Diagnosis -- 1.3 FE Method and Research Status -- 1.4 Research Status for FTC -- 1.5 Book Outline -- 2 IE for Lipschitzian Nonlinear Systems -- 2.1 Introduction -- 2.2 Problem Statement and Preliminaries -- 2.3 Design of the IE -- 2.3.1 The IE Design for Nonlinear Systems with Single Faults -- 2.3.2 Extension of IE for Nonlinear Systems with Multiple Faults -- 2.4 Simulation Example -- 2.4.1 Example I -- 2.4.2 Example II -- 2.5 Conclusion -- 3 IE for Uncertain Systems -- 3.1 Introduction -- 3.2 Preliminaries and Problem Statement -- 3.3 The Design of the IE-Based FA Strategy -- 3.4 Example -- 3.4.1 Example 1 -- 3.4.2 Example 2 -- 3.5 Conclusion -- 4 IE for Time-Varying Delay Systems -- 4.1 Introduction -- 4.2 Problem Statement and Preliminaries -- 4.3 IE-Based FTC Scheme -- 4.4 Simulation Example -- 4.5 Conclusion -- 5 Distributed IE for Complex Networks -- 5.1 Introduction -- 5.2 Preliminaries and Problem Statement -- 5.2.1 Basic Graph Theory -- 5.2.2 Problem Statement -- 5.3 The Design of the



Distributed IEs -- 5.4 Simulation Example -- 5.4.1 Example I -- 5.4.2 Example II -- 5.5 Conclusion -- 6 Distributed IE for MASs with Undirected Graph -- 6.1 Introduction -- 6.2 Preliminaries and Problem Statement -- 6.2.1 Basic Graph Theory -- 6.2.2 Problem Statement -- 6.3 The Design of the Distributed IE Based Fault Tolerant Tracking Protocol -- 6.4 Simulation Example -- 6.5 Conclusion -- 7 Distributed IE for MASs with Directed Graph -- 7.1 Introduction -- 7.2 Preliminaries and Problem Statement -- 7.3 The Design of the IE-based Tracking Protocol -- 7.4 Simulation Example -- 7.5 Conclusion -- 8 Intelligent IE for MASs -- 8.1 Introduction -- 8.2 Preliminaries and Problem Statement -- 8.2.1 Graph Theory -- 8.2.2 Problem Statement.

8.3 Main Results -- 8.3.1 A Novel Observer-based CFTTC Protocol with Adaptive Switching Mechanism -- 8.3.2 Stability Analysis -- 8.3.3 CFTTC with Online Reinforcement Learning Estimation Strategy -- 8.4 Application to Networked Multi-Axis Motion Control System -- 8.4.1 Platform of Servo Motors -- 8.4.2 Experimental Results -- 8.5 Conclusion -- 9 IE for LPV Systems -- 9.1 Introduction -- 9.2 Problem Description -- 9.2.1  Kinematic Model of Mobile Robot -- 9.2.2 Problem Formulation -- 9.3 Main Result -- 9.3.1 Design of the Iterative IE with TDGRM -- 9.3.2 Stability Analysis of Estimation Error System -- 9.4 Application to Mobile Robot -- 9.5 Conclusion -- 10 Projected IE for CPSs -- 10.1 Introduction -- 10.2 Preliminaries and Problem Statement -- 10.2.1 System Description -- 10.2.2 Problem Statement -- 10.3 Main Results -- 10.3.1 Observability Analysis -- 10.3.2 The Design of Basic Steps for PIE -- 10.3.3 Algorithm -- 10.3.4 Stability Analysis -- 10.4 Application to Networked Motion Control System -- 10.5 Conclusion -- 11 Conclusions and Future Research Directions -- 11.1 Conclusion -- Appendix  References --  -- Index.