Adaptive Control of Stochastic System by Using Multiple Models

摘要：

Two kinds of multiple model adaptive control (MMAC) methods are used for the control of stochastic system with measured noise and jumping parameters. In the first method, the multiple Kalman filters are used to calculate the weight of different local model, and control signal is generated as a probability-weight average of all the local controller outputs. For the second method, the controller of system is selected from multiple local model controllers by using an index switching function with form of integral of output error of each local model. From the simulation, it can be seen the former method is more effective compared with the later one when a stochastic system is controlled.

关键词： Multiple model adaptive control stochastic system

作者: Xiaoli Li Yunfeng Kang Yixin Yin

作者单位: Department of Automation, Information and Engineering School University of Science and Technology Beijing Beijing,100083,P.R.China

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 1344-1348

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）