Some typical structural schemes of learning control have been investigated.The schemes involve the pattern recognitionbased learning control,iterative learning control,repetitive learning control,and connectionist lea...Some typical structural schemes of learning control have been investigated.The schemes involve the pattern recognitionbased learning control,iterative learning control,repetitive learning control,and connectionist learning control,etc.This study focuses on the control mechanism and provides a basis for potential applications.Most of the structural schemes have been applied to various control fields.展开更多
A robust adaptive repetitive learning control method is proposed for a class of time-varying nonlinear systems. Nussbaum-gain method is incorporated into the control design to counteract the lack of a priori knowledge...A robust adaptive repetitive learning control method is proposed for a class of time-varying nonlinear systems. Nussbaum-gain method is incorporated into the control design to counteract the lack of a priori knowledge of the control direction which determines the motion direction of the system under any input. It is shown that the system state could converge to the desired trajectory asymptotically along the iteration axis through repetitive learning. Simulation is carried out to show the validity of the proposed control method.展开更多
文摘Some typical structural schemes of learning control have been investigated.The schemes involve the pattern recognitionbased learning control,iterative learning control,repetitive learning control,and connectionist learning control,etc.This study focuses on the control mechanism and provides a basis for potential applications.Most of the structural schemes have been applied to various control fields.
基金supported by the National Basic Research Program of China (No. 2012CB316400)the National Science Foundation of China (Nos.60974135, 60525316, 61171034)the Zhejiang Provincial Natural Science Foundation of China (No. R1110443)
文摘A robust adaptive repetitive learning control method is proposed for a class of time-varying nonlinear systems. Nussbaum-gain method is incorporated into the control design to counteract the lack of a priori knowledge of the control direction which determines the motion direction of the system under any input. It is shown that the system state could converge to the desired trajectory asymptotically along the iteration axis through repetitive learning. Simulation is carried out to show the validity of the proposed control method.
