Nonlinear system PID-type multi-step predictive control
Yan ZHANG
Zengqiang CHEN
Zhuzhi YUAN
摘要：A compound neural network was constructed during the process of identification and multi-step prediction. Under the PlD-type long-range predictive cost function, the control signal was calculated based on gradient algorithm. The nonlinear controller' s structure was similar to the conventional PID controller. The parameters of this controller were tuned by using a local recurrent neural network on-line. The controller has a better effect than the conventional PID controller. Simulation study shows the effectiveness and good performance.
机标关键词：PID controllerrecurrent neural networkgradient algorithmcost function
分类号：O1(数学)
资助基金：国家自然科学基金(60174021)国家自然科学基金( 60374037)
论文发表日期：2004-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：4( 201-204 )
英文信息