Title :
Robust Stabilization of Fuzzy Control for Nonlinear Multiple Time-Delay Interconnected Systems via Neural-Network-based Approach
Author :
Hsiao, Feng-Hsiag ; Liang, Yew-Wen ; Xu, Sheng-Dong ; Lin, Chia-Yen ; Tsai, Zhi-Ren
Author_Institution :
Nat. Univ. of Tainan, Tainan
Abstract :
The stabilization problem is considered in this study for a nonlinear multiple time-delay large-scale (NMTDLS) system. First, the NN model is employed to approximate each subsystem. Then, an LDI state-space representation is established for the dynamics of each NN model. According to the LDI state-space representation, a robustness design of fuzzy control is proposed to overcome the effect of modeling errors between subsystems and NN models. Next, in terms of Lyapunov´s direct method, a delay-dependent stability criterion is derived to guarantee the asymptotic stability of NMTDLS systems. Subsequently, a set of fuzzy controllers is synthesized to stabilize the NMTDLS system.
Keywords :
Lyapunov methods; asymptotic stability; fuzzy control; interconnected systems; neurocontrollers; nonlinear systems; robust control; state-space methods; LDI state-space representation; Lyapunov´s direct method; NMTDLS; asymptotic stability; delay-dependent stability criterion; fuzzy control; neural-network-based approach; nonlinear multiple time-delay large-scale interconnected system; robust stabilization; Asymptotic stability; Delay; Error correction; Fuzzy control; Interconnected systems; Large-scale systems; Neural networks; Nonlinear dynamical systems; Robust control; Stability criteria;
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
DOI :
10.1109/FUZZY.2006.1681756
