top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Fault estimation for network systems via intermediate estimator / / Jun-Wei Zhu, Xin Wang and Guang-Hong Yang
Fault estimation for network systems via intermediate estimator / / Jun-Wei Zhu, Xin Wang and Guang-Hong Yang
Autore Zhu Jun-Wei
Pubbl/distr/stampa Singapore : , : Springer, , [2022]
Descrizione fisica 1 online resource (191 pages)
Disciplina 629.8312
Soggetto topico Control theory
Computer system failures - Prevention
Fault-tolerant computing
Teoria de control
Tolerància als errors (Informàtica)
Soggetto genere / forma Llibres electrònics
ISBN 981-19-6321-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
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.
Record Nr. UNISA-996495167403316
Zhu Jun-Wei  
Singapore : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Fault estimation for network systems via intermediate estimator / / Jun-Wei Zhu, Xin Wang and Guang-Hong Yang
Fault estimation for network systems via intermediate estimator / / Jun-Wei Zhu, Xin Wang and Guang-Hong Yang
Autore Zhu Jun-Wei
Pubbl/distr/stampa Singapore : , : Springer, , [2022]
Descrizione fisica 1 online resource (191 pages)
Disciplina 629.8312
Soggetto topico Control theory
Computer system failures - Prevention
Fault-tolerant computing
Teoria de control
Tolerància als errors (Informàtica)
Soggetto genere / forma Llibres electrònics
ISBN 981-19-6321-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
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.
Record Nr. UNINA-9910624379203321
Zhu Jun-Wei  
Singapore : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui