Title :
Decentralized controllers for uncertain FLSS
Author :
Su, Kai ; Liu, Xiangjie
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Beijing
Abstract :
Robust Hinfin fuzzy controller is proposed in this paper to overcome the parametric uncertainties of fuzzy large scale systems (FLSS) and get Hinfin performance. In terms of Lyapunovpsilas second method and decentralized scheme, a stability criterion is derived via linear matrix inequalities (LMIs). Based on this criterion, a set of fuzzy parallel distributed compensation (PDC) controllers is synthesized, and adopted to stabilize the FLSS with parametric uncertainties. The effectiveness of the proposed approach is shown through a numerical example.
Keywords :
Hinfin control; Lyapunov methods; decentralised control; fuzzy control; large-scale systems; linear matrix inequalities; robust control; uncertain systems; Lyapunov second method; decentralized controller; fuzzy large scale system; fuzzy parallel distributed compensation controller; linear matrix inequality; robust Hinfin fuzzy controller; stability criterion; uncertain FLSS; Control systems; Distributed control; Fuzzy control; Fuzzy sets; Fuzzy systems; Large-scale systems; Linear matrix inequalities; Robust control; Stability criteria; Uncertainty; H∞; fuzzy large scale systems; parametric uncertainties; robust;
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
DOI :
10.1109/ICAL.2008.4636201
