Predictive Functional Control Based on Radial Based Function Neural Networks

摘要：

Predictive functional controller based on the linear model is designed in this paper, radial based function neural networks (RBFNN) is used as the compensator to eliminate unmodelld dynamics and the existed disturbance, so the adaptive predictive functional control of the system is realized. The simulation shows that the control algorithm is simple and efficient

关键词： predictive functional control dynamic compensation radial based function neural networks nonlinear system. simulation

作者: CHEN Hongyan

作者单位: School of Electrical Engineering and Automation Tianjin Polytechnic University Tianjin 300160, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Engineering and Applications(2011第三届计算机工程与应用国际会议 ICCEA2011)

会议地点: 海口

会议语种:英文

页码: 215-217

在线出版日期: 2011-07-15（万方平台首次上网日期，不代表论文的发表时间）