Robust control of uncertain sampled-data systems with poles constraint based on proportional–integral state observers

摘要：

In order to solve the problems of observer errors big for traditional observer in practical systems with disturbances and noises,the proportional-integral state observers of a class of sampled-data systems with disturbances and uncertainty were researched.The approach for region poles constraint was proposed.By researching disturbances with fast time-varying and slow time-varying respectively,a class of sufficient conditions for the sampled-data systems was given by virtue of robust control theory and linear matrix inequality (LMI) method.At the same time,the robust control law and state observer gains were derived.At last,a numerical example is presented to illustrate the validity of this approach.

关键词： linear matrix inequality (LMI) sampled-data system proportional-integral state observer.

作者: Jun-feng Wu Li-zhi Dong Ming-bo Jing

作者单位: Department of Automation,Harbin University of Science and Technology,Harbin 150080,China Rubber Mechanical Research Institute Qingdao MESNAC Co.,LTD,Qingdao 266042,China College of Mechanic-Electronic Engineering,Lanzhou University of Technology,Lanzhou 730050,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）