Title :
Robust Fuzzy Control for a Class of Nonlinear Systems Subject to Impulsive Disturbance of Input
Author :
Jiang, Hai-bo ; Zhang, Tian-Ping ; Wang, Qin ; Zhang, Li-ping
Author_Institution :
Dept. of Comput., Yangzhou Univ.
Abstract :
The problem of robust fuzzy control for a class of nonlinear systems subject to impulsive disturbance of input is investigated by employing Lyapunov functions in this paper. The well-known T-S fuzzy model is used to represent the nonlinear systems. The so-called parallel distributed compensation (PDC) idea is employed to design the state feedback controller. Two classes of coefficient matrices of impulsive noise sequence are considered. Sufficient conditions for global exponential stability of the closed-loop system are derived in terms of linear matrix inequalities (LMIs), which can be easily solved by LMI method
Keywords :
Lyapunov methods; asymptotic stability; closed loop systems; compensation; control system synthesis; fuzzy control; impulse noise; linear matrix inequalities; nonlinear control systems; robust control; state feedback; LMI method; Lyapunov functions; T-S fuzzy model; closed-loop system; global exponential stability; input impulsive disturbance; linear matrix inequalities; nonlinear systems; parallel distributed compensation; robust fuzzy control; state feedback controller design; Chaos; Control systems; Educational institutions; Fuzzy control; Fuzzy systems; Linear matrix inequalities; Machine learning; Nonlinear control systems; Nonlinear systems; Robust control; Stability; Exponential stability; Fuzzy control; Impulsive control; Linear matrix inequality (LMI); Nonlinear systems; T-S fuzzy model;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259104
