@inproceedings{df4e709babcf4dd98d5bd5224b757c78,
title = "Robust stabilization of fuzzy control for nonlinear multiple time-delay interconnected systems via neural-network-based approach",
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 = "Delay-dependent stability criterion, Large-scale systems, Modeling error, Neural network",
author = "Hsiao, {Feng Hsiag} and Liang, {Yew Wen} and Xu, {Sheng Dong} and Lin, {Chia Yen} and Tsai, {Zhi Ren}",
year = "2006",
doi = "10.1109/FUZZY.2006.1681756",
language = "英语",
isbn = "0780394887",
series = "IEEE International Conference on Fuzzy Systems",
pages = "484--491",
booktitle = "2006 IEEE International Conference on Fuzzy Systems",
note = "2006 IEEE International Conference on Fuzzy Systems ; Conference date: 16-07-2006 Through 21-07-2006",
}