A neural-network-based adaptive tracking control scheme is proposed for a class of nonlinear systems in this paper. It is shown that RBF neural networks are ...
Abstract: A neural network-based adaptive tracking control scheme is proposed for a class of nonlinear systems in this paper.
An adaptive tracking controller using neural networks for nonlinear systems · Z. Man, H. Wu, +1 author. M. Palaniswami · Published in International Conference on…
A neural network-based adaptive tracking control scheme is proposed for a class of nonlinear systems in this paper. It is shown that two uncertainty bounds ...
Adaptive control techniques can achieve impressive control results for systems which can be accurately modeled or estimated. This paper addresses the case ...
Man, Z., Wu, H. R., & Palaniswami, M. (1998). An Adaptive Tracking Controller Using Neural Networks for a Class of Nonlinear Systems. IEEE Transactions on ...
This paper focuses on designing an adaptive radial basis function neural network (RBFNN) control method for a class of nonlinear systems with unknown ...
A neural-network-based adaptive tracking control scheme is proposed for a class of nonlinear systems in this paper. It is shown that RBF neural networks are ...
A neural networkbased robust adaptive tracking control scheme is proposed for a class of nonlinear systems. It is shown that, unlike most neural control ...
This article extends the application of the adaptive neural network control to a new class of uncertain MIMO non-linear systems, which are composed of ...