韩敏

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:女

毕业院校:日本九州大学

学位:博士

所在单位:控制科学与工程学院

办公地点:创新园大厦B601

联系方式:minhan@dlut.edu.cn

电子邮箱:minhan@dlut.edu.cn

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Adaptive Self-constructing Radial-Basis-Function Neural Control for MIMO Uncertain Nonlinear Systems with Unknown Disturbances

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论文类型:会议论文

发表时间:2014-07-06

收录刊物:EI、CPCI-S、Scopus

页面范围:3278-3283

摘要:In this paper, an adaptive self-constructing RBF neural control (AS-RBFNC) scheme for trajectory tracking of MIMO uncertain nonlinear systems with unknown time-varying disturbances is proposed. System uncertainties and unknown dynamics can be exactly identified online by a self-constructing RBF neural network (SC-RBFNN) which is implemented by employing dynamically constructive hidden nodes according to the structure learning criteria including hidden node generating and pruning. The globally asymptotical stability of the entire AS-RBFNC control system is derived from Lyapunov approach.