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.
- 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
University of Georgia, School of Electrical and Computer Engineering, Athens, USA.
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 Associate Professor.
Qatar University, Doha.
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 Professor.
Concordia Institute of Aerospace Design and Innovation, Department of Electrical and Computer Engineering, Montreal, Canada.
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.