Robust adaptive control
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Robust Control of Nonlinear Uncertain Systems
Robust Control of Nonlinear Uncertain Systems
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Stable Adaptive Neural Network Control
Stable Adaptive Neural Network Control
Adaptive neural network control for strict-feedback nonlinear systems using backstepping design
Automatica (Journal of IFAC)
Stable neural controller design for unknown nonlinear systems using backstepping
IEEE Transactions on Neural Networks
Direct adaptive NN control of a class of nonlinear systems
IEEE Transactions on Neural Networks
Robust and adaptive backstepping control for nonlinear systems using RBF neural networks
IEEE Transactions on Neural Networks
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In this paper, adaptive neural network control is proposed for a class of strict-feedback nonlinear time-delay systems. Unknown smooth function vectors and unknown time-delay functions are approximated by two neural networks, respectively, such that the requirement on the unknown time-delay functions is relaxed. In addition, the proposed systematic backstepping design method has been proven to be able to guarantee semiglobally uniformly ultimately bounded of closed loop signals, and the output of the system has been proven to converge to a small neighborhood of the desired trajectory. Finally, simulation result is presented to demonstrate the effectiveness of the approach.