This title is available electronically through the IET Digital Library
Book title: Integrated Fault Diagnosis and Control Design of Linear Complex Systems
Author: Mohammad Reza Davoodi, Nader Meskin and Khashayar Khorasani
Product Code: PBCE1210
Stock Status: In stock
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.
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.
Mohammadreza Davoodi is a Post-Doctoral Fellow with 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, and 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 and 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.
This book provides insights for theoretical researchers as well as research and control engineers working in control and system engineering including the development and design of fault diagnosis and robust control methodologies.