一种用于非线性控制的神经网络模糊自组织控制器

本文提出一种神经网络自组织控制器，并应用于非线性跟踪控制中，为了加快模糊控制器的在线学习，文中给出了一种变的最速梯度下降学习算法，仿真结果表明，该控制是有效的。

A Neural Fuzzy Logic Self-Organizing Controller for Nonlinear System Control

A neural fuzzy logic self-organizing controller is proposed and applied to control of a non-linear learning tracking problem- The proposed controller can self adjust its control rules by modifying the weights of the network on-line such that it can improve response performance of the nonlinear plant. In this paper,a weight-learning algorithm is presented using the gradient descent method with a veriable-slopes,which is useful to accelerate learning and improve convergence,The effectiveness of the proposed control scheme is illustrated through simulations.