Title :
Fuzzy Controller Design for Nonlinear Impulsive Fuzzy Systems With Time Delay
Author :
Zhang, Hao ; Yan, Huaicheng ; Liu, Tao ; Chen, Qijun
Author_Institution :
Dept. of Control Sci. & Eng., Tongji Univ., Shanghai, China
Abstract :
The stabilization problem is investigated for continuous-time Takagi-Sugeno (T-S) fuzzy systems with time delay and impulsive effects in this paper. Some delay-independent and delay-dependent stabilization approaches are developed for both state feedback and observer-based feedback cases, which are based on the Lyapunov-Krasovskii functional approach and a parallel distributed compensation scheme. The time delay is dealt by Lyapunov theory allied with the Halanay Lemma. The restriction on the interval between each impulsive instant and output sampled instant needs not be equal to or less than a constant scalar, but it only requires an inequality satisfaction. When the impulsive effects vanish, the results can be extended to the corresponding sufficient conditions for the cases of a nonlinear continuous time-delay system with a state feedback and observer-based sampled output feedback. Finally, some examples are given to demonstrate the effectiveness of the proposed method.
Keywords :
Lyapunov methods; continuous time systems; control system synthesis; delay systems; fuzzy control; nonlinear control systems; stability; state feedback; Halanay Lemma; Lyapunov theory; Lyapunov-Krasovskii functional approach; T-S fuzzy system; continuous-time Takagi-Sugeno system; delay-dependent stabilization; delay-independent stabilization; fuzzy controller design; impulsive effect; nonlinear continuous time-delay system; nonlinear impulsive fuzzy system; observer-based sampled output feedback; parallel distributed compensation; stabilization problem; state feedback; time delay; Biological system modeling; Bismuth; Fuzzy systems; Nonlinear systems; Stability analysis; State feedback; Symmetric matrices; Fuzzy system; impulsive effect; nonlinear system; stabilization; time delay;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2011.2147793