Adaptive Control of Nonlinear Systems Using Neural Networks - A Dead-Zone Approach
作者： Fu-Chuang Chen , Hassan K. Khalil
DOI: 10.23919/ACC.1991.4791454
关键词: Artificial neural network 、 Control system 、 Control theory 、 Computer science 、 Dead zone 、 Adaptive control 、 Local convergence 、 State-space representation 、 Nonlinear system
摘要: Layered neural networks are used in a nonlinear adaptive tracking problem. The plant is an unknown feedback-linearizable discrete-time system, represented by input-output model with relative degree higher than one. A state space of the obtained to define zero dynamics, which assumed be stable. and generate controls. Some error between allowed. dead-zone specified updating rule. local convergence result given.
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