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Further Results on Feedback Error Learning Control: Partially Known Plant and General Response Model

Decision and Control(2010)

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摘要
Much attention has been paid recently to control-theoretic research on what is called feedback error learning (FEL). This paper provides yet another FEL control scheme, which generalizes existing ones in two points: i) It can treat a plant which is the product of known and unknown transfer matrices, and thereby reduces the number of parameters to be learned. ii) The response model is less restrictive, due to a general two-degree-of-freedom structure. Numerical simulation illustrates the effectiveness of the proposed scheme.
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关键词
control system synthesis,feedback,learning (artificial intelligence),matrix algebra,neurocontrollers,FEL control scheme,feedback error learning control,general response model,numerical simulation,partially known plant,transfer matrices
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