Adaptive control of nonlinear systems using neural networks

Fu-Chuang Chen*, Hassan K. Khalil

*此作品的通信作者

研究成果: Conference article同行評審

28 引文 斯高帕斯(Scopus)

摘要

Layered neural networks are used in a nonlinear adaptive control problem. The plant is an unknown feedback-linearizable discrete-time system, represented by an input-output model. A state space model of the plant is obtained to define the zero dynamics, which are assumed to be stable. A linearizing feedback control is derived in terms of some unknown nonlinear functions. To identify these functions, it is assumed that they can be modeled by layered neural networks. The weights of the networks are updated and used to generate the control. A local convergence result is given. Computer simulations verify the theoretical result.

原文English
文章編號203912
頁(從 - 到)1707-1712
頁數6
期刊Proceedings of the IEEE Conference on Decision and Control
3
DOIs
出版狀態Published - 5 12月 1990
事件Proceedings of the 29th IEEE Conference on Decision and Control Part 6 (of 6) - Honolulu, HI, USA
持續時間: 5 12月 19907 12月 1990

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