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.
Author(s): Mohammadreza Davoodi, Nader Meskin, Khashayar Khorasani
Series: Control, Robotics and Sensors Series 121
Publisher: The Institution of Engineering and Technology
Year: 2018
Language: English
Pages: xx+228
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
