A RBFNN Equivalent Sliding Mode Control Optimized Based on Improved Structure Membrane Optimization for Ball-Plate System

摘要：

　　A radial basis function neural network (RBFNN) equivalent sliding mode controller (ESMC) based on the tree structure membrane optimization algorithm for the ball-plate system is introduced in the paper. The RBFNN parameters are optimized by tree-structure membrane optimization (TMO) algorithm firstly, and then combined the optimized RBFNN with ESMC for ball-plate system. The simulation results demonstrate the potential of the improved algorithm, compared the control system without optimization, we can see the tracking speed, robustness and control efficiency are improved, buffeting has also been decrease, which embody the nice characters of the TMO-RBF-ESMC control system.

关键词： RBFNN ESMC membrane computing TMO ball-plate system

作者: Xiucheng Dong Dongbo Liu Peng Shi

作者单位: Provincial Key Lab on Signal and Information Processing Xihua University Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd,Wales,CF37 1DL,

会议类型: 国际会议

会议名称: 2013年第二届亚洲膜计算国际会议(2013ACMC)

会议地点: 成都

会议语种:英文

页码: 27-38

在线出版日期: 2013-11-04（万方平台首次上网日期，不代表论文的发表时间）