Adaptive Control; Decentralized Systems; Fuzzy Control; Nonlinear Systems
Abstract :
[en] The problem of controlling a large scale uncertain nonlinear system consisting of interconnected subsystems is addressed. The interconnections between different subsystems are assumed to be bounded. Fuzzy logic systems are used to approximate the unknown dynamics of different subsystems. Then, robust indirect adaptive fuzzy decentralized controllers are derived. Moreover, the uncertainty bounds resulted from approximation are tuned adaptively so that global system stability is guaranteed and all closed loop signals are assured to be bounded.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Jasim, Ibrahim ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Language :
English
Title :
Decentralized Robust Indirect Adaptive Fuzzy Control for a Class of Nonlinear Interconnected Systems
Publication date :
May 2011
Event name :
2011 Intenational Conference on Computer Control and Automation (ICCCA 2011)
Event organizer :
IEEE
Event place :
Jeju Island, South Korea
Event date :
1-5-2011 to 3-5-2011
Audience :
International
Main work title :
2011 International Conference on Computer Control and Automation (ICCCA 2011)
