Predictive Functional Control Based on Radial Based Function Neural Networks
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
predictive functional control dynamic compensation radial based function neural networks nonlinear system. simulation
CHEN Hongyan
School of Electrical Engineering and Automation Tianjin Polytechnic University Tianjin 300160, China
国际会议
海口
英文
215-217
2011-07-15(万方平台首次上网日期,不代表论文的发表时间)