Robustness design of fuzzy control for nonlinear multiple time-delay large-scale systems via neural-network-based approach |
| |
Authors: | Feng-Hsiag Hsiao Sheng-Dong Xu Chia-Yen Lin Zhi-Ren Tsai |
| |
Affiliation: | Nat. Univ. of Tainan, Tainan; |
| |
Abstract: | The stabilization problem is considered in this correspondence for a nonlinear multiple time-delay large-scale system. First, the neural-network (NN) model is employed to approximate each subsystem. Then, a linear differential inclusion (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 nonlinear multiple time-delay large-scale systems. Finally, based on this criterion and the decentralized control scheme, a set of fuzzy controllers is synthesized to stabilize the nonlinear multiple time-delay large-scale system. |
| |
Keywords: | |
|
|