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检索条件"主题词=Developing nonlinear adaptive optimal regulators through an improved neural learning mechanism"
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developing nonlinear adaptive optimal regulators through an improved neural learning mechanism
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Science China(Information Sciences) 2017年 第5期60卷 252-254页
作者: Ding WANG Chaoxu MU The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information EngineeringTianjin University
optimal feedback design of dynamical systems is a significant topic in automatic control community and information *** for nonlinear systems,optimal control design always leads to coping with the nonlinear Hamilton-Ja... 详细信息
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