Adaptive control of nonlinear systems using neural networks
作者： FU-CHUANG CHEN , HASSAN K. KHALIL
DOI: 10.1080/00207179208934286
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摘要: Layered networks are used in a nonlinear adaptive control problem. The plant is an unknown feedback-linearizable discrete-time system, represented by input-output model. A state space model of the obtained to define zero dynamics, which assumed be stable. linearizing feedback derived terms some functions. To identify these functions, it that they can modelled layered neural networks. weights updated and generate control. local convergence result given. Computer simulations verify theoretical result.
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