Adaptive control of nonlinear systems using neural networks

Fu-Chuang Chen, Hassan K. Khalil

研究成果: Article

236 引文 斯高帕斯(Scopus)

摘要

Layered 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 modelled 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
頁(從 - 到)1299-1317
頁數19
期刊International Journal of Control
55
發行號6
DOIs
出版狀態Published - 1 一月 1992

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