Integrated Fault Diagnosis and Control Design of Linear Complex Systems
Published on 23. August 2018
Book
Hardback
248 pages
978-1-78561-705-8 (ISBN)
Description
As control systems become more complex and are expected to perform tasks in unknown and extreme environments, they may be subject to various types of faults in their sensors, actuators or other components. It is crucial to be able to diagnose the occurrence of faults and to repair them in order to maintain, guarantee, and improve the overall safety, reliability, and performance of the systems. This book addresses the design challenges of developing and implementing novel integrated fault diagnosis and control technologies for complex linear systems.
Integrated Fault Diagnosis and Control Design of Linear Complex Systems considers linear time-invariant (LTI) systems under both time- and event-triggered frameworks. The book initially develops novel methodologies for the problem of integrated fault diagnosis and control of LTI systems to address current design challenges. The results obtained are then extended to a number of complex linear systems, specifically to Markovian jump systems as well as to cooperative multi-agent systems.
Integrated Fault Diagnosis and Control Design of Linear Complex Systems considers linear time-invariant (LTI) systems under both time- and event-triggered frameworks. The book initially develops novel methodologies for the problem of integrated fault diagnosis and control of LTI systems to address current design challenges. The results obtained are then extended to a number of complex linear systems, specifically to Markovian jump systems as well as to cooperative multi-agent systems.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 236 mm
Width: 163 mm
Thickness: 18 mm
Weight
499 gr
ISBN-13
978-1-78561-705-8 (9781785617058)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Mohammadreza Davoodi is a Post-Doctoral Fellow with the School of Electrical and Computer Engineering, University of Georgia, Athens, USA. His research interests include fault diagnosis, simultaneous fault detection and control (SFDC), robust control, convex optimization, multi-agent systems, autonomous network of unmanned vehicles, and hybrid systems.
Nader Meskin is an Associate Professor with Qatar University, Doha, where he is a member of the Department of Electrical Engineering. His research interests include fault detection and isolation (FDI), multi-agent systems, active control for clinical pharmacology, and linear parameter varying systems.
Khashayar Khorasani is a Professor and Research Chair with the Department of Electrical and Computer Engineering at the Concordia Institute of Aerospace Design and Innovation, Montreal, Canada. His research interests include nonlinear and adaptive control; intelligent and autonomous cooperative control of networked unmanned systems; fault diagnosis, isolation, and recovery (FDIR); diagnosis, prognosis, and health monitoring (DPHM); cyber-physical systems security and protection; resilient control against cyberattacks; and computational intelligence and machine learning.
Nader Meskin is an Associate Professor with Qatar University, Doha, where he is a member of the Department of Electrical Engineering. His research interests include fault detection and isolation (FDI), multi-agent systems, active control for clinical pharmacology, and linear parameter varying systems.
Khashayar Khorasani is a Professor and Research Chair with the Department of Electrical and Computer Engineering at the Concordia Institute of Aerospace Design and Innovation, Montreal, Canada. His research interests include nonlinear and adaptive control; intelligent and autonomous cooperative control of networked unmanned systems; fault diagnosis, isolation, and recovery (FDIR); diagnosis, prognosis, and health monitoring (DPHM); cyber-physical systems security and protection; resilient control against cyberattacks; and computational intelligence and machine learning.
Content
Chapter 1: Introduction
Chapter 2: Integrated fault detection and control design based on dynamic observer
Chapter 3: A single dynamic observer-based module for design of integrated fault detection, isolation, and tracking control scheme
Chapter 4: Integrated design of fault detection, isolation, and control for continuous-time Markovian jump systems
Chapter 5: Event-triggered multiobjective control and fault diagnosis: a unified framework
Chapter 6: Event-triggered fault estimation and accommodation design for linear systems
Chapter 7: Integrated fault detection and consensus control design for a network of multiagent systems
Chapter 8: Perspectives and future directions of research
Chapter 2: Integrated fault detection and control design based on dynamic observer
Chapter 3: A single dynamic observer-based module for design of integrated fault detection, isolation, and tracking control scheme
Chapter 4: Integrated design of fault detection, isolation, and control for continuous-time Markovian jump systems
Chapter 5: Event-triggered multiobjective control and fault diagnosis: a unified framework
Chapter 6: Event-triggered fault estimation and accommodation design for linear systems
Chapter 7: Integrated fault detection and consensus control design for a network of multiagent systems
Chapter 8: Perspectives and future directions of research