@inproceedings{859f59b6e1814cab94ac7b6d2720ce13,
title = "Fuzzy control for nonlinear systems modeled via neural-network",
abstract = "It is known that backpropagation network is always used to modeling. This study is concerned with the stability problem of a neural network (NN) system which consists of a few subsystems represented by NN models. In this paper, the dynamics of each NN model is converted into linear inclusion representation. Subsequently, based on the representations, the stability conditions in terms of Lyapunov's direct method is derived to guarantee the stability of nonlinear systems. Finally, a numerical example with simulations is given to illustrate the results.",
author = "Chen, {Zhen Yuan} and Chen, {Cheng Wu} and Chiang, {Wei Ling} and Huang, {Jiing Don}",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; IEEE International Conference on Industrial Technology, IEEE ICIT 2002 ; Conference date: 11-12-2002 Through 14-12-2002",
year = "2002",
doi = "10.1109/ICIT.2002.1189863",
language = "???core.languages.en_GB???",
series = "Proceedings of the IEEE International Conference on Industrial Technology",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "66--71",
booktitle = "IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology",
}