The neural network L-two-gain robust control for a class of uncertain systems一类不确定系统的神经网络L2--增益鲁棒控制L2--增益鲁棒控制非线性系统反步法动态面控制方法神经网络对于一类具有三角结构的单输入单输出的不确定非线性系统, 用反步法(backstepping)和动态面控制方法(dynamic surface control technique)...
3. Design of neural network robust controller In this section, a NN compensator controller serving as a compensator for CTC is considered and designed in detail. Using control law (8), closed-loop system becomes:(9)e¨+Kve˙+Kpe=ρ(xe)+d¯+M0-1τc.Supposed that state vector is define...
taking the neural network approximate error as the external disturbances.Based on H∞ control theory,the influence of the disturbance on system output is suppressed to a small extent.By using Lyapunov stability theory,the weight matrix regulator of RBF neural network and correlation robust controller ...
Control Theory And Applications,2001,18 (6) :897 -901.Bai Ping.Robust neural-network compensating con-trol for robot manipulator based on computed torquecontrol.Control Theory and Applications. 2001Bai P,Fang T J,Ge Y J.Robust neural network compensating control for robot manipulator based on ...
A robust neural network controller (NNC) is presented for tracking control of underwater vehicles with uncertainties. The controller is obtained by using backstepping technique and Lyapunov function design in combination with neural network identification. Modeling errors and environmental disturbances are co...
A neural-network-based robust output feedback H∞ control design is suggested for control of a class of nonlinear systems both with time delays and with uncertainties. In this paper, a full-order dynamic output feedback controller is designed for the delayed uncertain nonlinear system approximated...
In this paper, we aim to tackle the neural robust tracking control problem for a class of nonlinear systems using the adaptive critic technique. The main contribution is that a neural-network-based robust tracking control scheme is established for nonlinear systems involving matched uncertainties. The...
This study develops a neural-network-based robust control scheme for steer-by-wire systems with uncertain dynamics. The proposed control consists of a nominal control and a nonsingular terminal sliding mode compensator where a radial basis function neural network (RBFNN) is adopted to adaptively lear...
Ge, B. How, Robust adaptive neural network control for a class of uncertain mimo nonlinear systems with input nonlinearities, IEEE Trans. Neural Netw. ... M Chen,SS Ge,BVE How - 《IEEE Transactions on Neural Networks》 被引量: 665发表: 2010年 Adaptive neural network control of nonlinear ...
A simple robust learning algorithm of neural network is derived such that the proposed adaptive controller can easily be implemented and the stability of the closed system can be ensured. A simulation example demonstrates the effectiveness of the proposed control strategy. 展开 关键词: adaptive robust...