Multiobjective Fault Detection Observer Design for a Class of T-S Fuzzy Nonlinear Systems
This article presents the design of fault detection fuzzy observer with multiple performance constraints for a class of nonlinear system with Takagi-Sugeno fuzzy form. The multiobjective optimization and consistency analysis are applied to meeting the desirable transient behavior, steady output variance and H? index performance requirements. Thus, the rapidity of response to fault detection, robustness to noisy disturbances and sensitivity to faults are guaranteed simultaneously. One advantage of our design is that the determination of detection threshold makes full use of the information in the stage of observer design. Meanwhile, the multiple fuzzy Lyapunov function and the slack of variables are used for decreasing the conservatism of conventional single Lyapunove function method. Simulation results indicated the effectiveness of the proposed method.
Dengfeng Zhang Xiaodong Han Hong Wang Zhiquan Wang
School of Mechanical Engineering, Nanjing University of Science & Technology, Nanjing, 210094 China; Telecommunication Satellite,China Academy of Space Technology, Beijing, 100094, China University of Manchester,Manchester, M60 1QD, UK School of Automation, Nanjing University of Science & Technology, Nanjing, 210094, China
国际会议
2011 International Symposium on Advanced Control of Industrial Processes(2011工业过程先进控制技术国际研讨会)
杭州
英文
486-491
2011-05-01（万方平台首次上网日期，不代表论文的发表时间）