Observer-Based Fault Estimation Techniques

ISBN-13: 9783319884387 / Angielski / Miękka / 2018 / 187 str.

Ke Zhang; Bin Jiang; Peng Shi

Spis treści

Introduction.- Fault Estimation of Continuous-Time Systems in Finite-Frequency Domain.- Fault Estimation of Discrete-Time Systems in Finite-Frequency Domain.- Fault Estimation of Fuzzy Systems in Finite-Frequency Domain.- Fault Estimation with Finite-Time Convergence Specification.- AP-Based Fault Estimation.- H∞ and H₂ Distributed Fault Estimation for MAS.- Adaptive Technique-Based Distributed Fault Estimation for MAS.- AP-Based Distributed Fault Estimation for MAS.- Conclusions.

O autorze

Ke Zhang received the Ph.D. degree in Control Theory and Engineering in 2012 from Nanjing University of Aeronautics and Astronautics, Nanjing, China. From October 2009 to March 2010, he was a Visiting Student with the Systèmes et Applications des Technologies de l’Information et de l’Energie, Ecole Normale Supérieure de Cachan, Cachan, France. His research interests cover fault diagnosis and fault-tolerant control for dynamic systems and their applications. He has published more than 30 papers in international journals, including IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, IET Control Theory and Applications, International Journal of Control, etc. Dr. Zhang currently serves as an Associate Editor for Nonlinear Analysis: Hybrid Systems, and a Reviewer for many important international journals, including Automatica, IEEE Transactions on Automatic Control, etc. He is a senior member of the IEEE.

Bin Jiang was born in Jiangxi, China, in 19

66. He received the Ph.D. degree in Automatic Control from Northeastern University, Shenyang, China, in 1995. He had ever been a Post-Doctoral Fellow, a Research Fellow, and a Visiting Professor in Singapore, France, USA, and Canada, respectively. He is currently a Chair Professor of Cheung Kong Scholar Program with the Ministry of Education and the Dean of the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His current research interests include fault diagnosis and fault-tolerant control and their applications. Prof. Jiang currently serves as an Associate Editor or an Editorial Board Member for a number of journals, such as the IEEE Transactions on Control Systems Technology, The IEEE Transactions on Fuzzy Systems, the International Journal of Control, Automation and Systems, Nonlinear Analysis: Hybrid Systems, the International Journal of Applied Mathematics and Computer Science, Acta Automatica Sinica, and the Journal of Astronautics. He is the Chair of Control Systems Chapter in the IEEE Nanjing Section, and a member of the International Federation of Automatic Control (IFAC) Technical Committee on Fault Detection, Supervision, and Safety of Technical Processes.

Peng Shi received the B.Sc. degree in Mathematics from the Harbin Institute of Technology, Harbin, China, the M.E. degree in Systems Engineering from Harbin Engineering University, Harbin, the Ph.D. degree in Electrical Engineering from the University of Newcastle, Callaghan, New South Wales (NSW), Australia, the Ph.D. degree in Mathematics from the University of South Australia, Adelaide, South Australia (SA), Australia, the Doctor of Science degree from the University of Glamorgan, Pontypridd, U.K., in 2006, and the Doctor of Engineering degree from the University of Adelaide, Adelaide, SA, Australia, in 2015. He is currently a Professor with the University of Adelaide, and Victoria University, Melbourne, VIC, Australia. He was a Pro

fessor with the University of Glamorgan, a Senior Scientist with the Defence Science and Technology Organisation, Canberra, Australian Capital Territory (ACT), Australia, and a Lecturer and a Post-Doctorate Fellow with the University of South Australia. His current research interests include system and control theory, computational intelligence, and operational research. Dr. Shi served as an Editorial Board Member for a number of journals, including Automatica, the IEEE Transactions on Automatic Control, the IEEE Transactions on Fuzzy Systems, the IEEE Transactions on Cybernetics, the IEEE Transactions on Circuits and Systems-I: Regular Papers, and the IEEE Access, He was the Chair of Control Aerospace and Electronic Systems Chapter, the IEEE South Australia Section. He is currently a member of the College of Expert, Australian Research Council. He is a fellow of IEEE, the Institution of Engineering and Technology, and the Institute of Mathematics and its Applications.

Vincent Cocquempot received the Ph.D. degree in Automatic Control from the Lille 1 University of Sciences and Technologies, Lille, France, in 1993. He is currently a Full Professor in automatic control at the Technological Institute of Lille University of Sciences and Technologies, Lille, France, and a researcher of the CRIStAL: Centre de Recherche en Informatique, Signal et Automatique de Lille, a mixed research unit (UMR 9189) of the CNRS, the Lille University and École Centrale de Lille, France. His research interests include robust on-line fault diagnosis for uncertain dynamical nonlinear systems, fault detection and isolation and fault-tolerant control for hybrid dynamical systems.

Blurb

This book investigates observer-fault estimation techniques in detail, while also highlighting recent research and findings regarding fault estimation. Many practical control systems are subject to possible malfunctions, which may cause significant performance loss or even system instability. To improve the reliability, performance and safety of dynamical systems, fault diagnosis techniques are now receiving considerable attention, both in research and applications, and have been the subject of intensive investigations. Fault detection – the essential first step in fault diagnosis – is a binary decision-making process used to determine whether or not a fault has occurred. In turn, fault isolation is used to identify the location of the faulty component, while fault estimation is used to identify the size of the fault online. Compared with the problems involved in fault detection and isolation, fault estimation is considerably more challenging.