Application of Artificial Neural Network in Internal Model Control
Internal model control is a kind of control structure that uses the inverse of internal model of the plant as controller. It not only has simple construction and few tuning parameters but also is easy to adjust online. Now it has been an effective method to linear and nonlinear systems. The nonlinear character of artificial neural networks and its adaptation and learning lead to the idea of using networks directly in a nonlinear internal model control. It has been testified effective to usual nonlinear systems by the simulation. It is easy to realize in the project and it improves robust performance.
Artificial Neural Network Learning Algorithms Internal Model Control Plant Model
Xu Lina Liu Xiaojing
Dept. of Control Engineering, Harbin Institute of Technology
国际会议
北京
英文
226-229
2007-11-04（万方平台首次上网日期，不代表论文的发表时间）