一种用于非线性控制的神经网络模糊自组织控制器

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

中文关键词  模糊逻辑  神经网络  模糊自组织控制  智能控制

英文关键词  fuzzy logic  neural networks  fuzzy self-organizing control  intelligent control

中文摘要

      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，为了加快神经模糊控制器的在线学习，文中给出了一种变斜率的是速梯度下降学习算法．仿真结果表明，该控制是有效的.

英文摘要

      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.