会议专题

MULTIVARIABLE INTEGRAL CONTROL SYSTEM BASED ON TAKAGI-SUGENO FUZZY MODEL

Based on Takagi-Sugeno fuzzy model, employing parallel distributed compensation, the multivariable integral control and state observer in the linear system theory are applied to nonlinear systems for the problem of output tracking and rejecting disturbance with reference and/or disturbance signals in the form of step, and the fuzzy integral controller and fuzzy state observer are synthesized.The stability condition of continuous closed-loop fuzzy control system and a similar separation principle to the counterpart on observer design in the linear system theory are obtained.

Takagi-Sugeno fuzzy model Multivariable integral control State observer Separation property Stability condition

XIU-CHUN LUAN WEI-SHI HAN AI-GUANG YOUNG YU ZHAI YU JIANG

College of Nuclear Science and Technology, Harbin Engineering University, Harbin, 150001, China Qingdao University of Science and Technology, Qingdao, 266100, China Harbin University of Science and Technology, Harbin, 150040, China

国际会议

2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

香港

英文

1321-1326

2007-08-19(万方平台首次上网日期,不代表论文的发表时间)