D-CIS Publication Database


Type of publication:Inproceedings
Entered by:ADM
Bibtex cite ID
Booktitle Proceedings of the IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)
Year published 2010
Month May
Location Cluj-Napoca, Romania
Keywords fuzzy estimation,fuzzy control
A large class of nonlinear systems can be well approximated by Takagi-Sugeno fuzzy models, for which methods and algorithms have been developed to analyze their stability and to design observers and controllers. However, results obtained for Takagi-Sugeno fuzzy models are in general not directly applicable to the original nonlinear system. In this paper, we investigate what conclusions can be drawn when an observer-based controller is designed for an approximate model and then applied to the original nonlinear system. In particular, we consider the case when the scheduling vector depends on the states that have to be estimated, and in the membership functions of the observer estimated scheduling vectors are used. The results are illustrated throughout the paper using simulation examples.
Lendek, Zsófia
Babuška, Robert
De Schutter, Bart
bounds_appr_part2.pdf (main file)
Total mark: 5