Interpolative-Type Control Solutions

作者: Sanda Dale , Toma-Leonida Dragomir

DOI: 10.1007/978-3-642-00448-3_9

关键词:

摘要: The controllers with interpolative blocks can replace fuzzy in control structures. This is possible because belong also to the interpolative-type controller category, meaning which implements reasoning. That kind of replacement not only a formal operation; it associated further corrections that confer structures enough flexibility obtain better performances. possibility performances improvement on flexible structure main argument present paper. Another reduced calculus time, suited for real-time implementation - it’s about “look-up table” type solutions and simple robustness properties. In order illustrate above affirmations, two case studies are developed paper: an electromechanical ball beam nonlinear system positioning Lyapunov constraints state limitations.

参考文章(6)
Dirk Drechsel, Regelbasierte Interpolation und Fuzzy Control Vieweg+Teubner Verlag. ,(1996) , 10.1007/978-3-663-11260-0
Jean-Jacques E. Slotine, Weiping Li, Applied Nonlinear Control ,(1991)
LászlóT. Kóczy, Kaoru Hirota, Approximate reasoning by linear rule interpolation and general approximation International Journal of Approximate Reasoning. ,vol. 9, pp. 197- 225 ,(1993) , 10.1016/0888-613X(93)90010-B
Byung-Jae Choi, Seong-Woo Kwak, Byung Kook Kim, Design and stability analysis of single-input fuzzy logic controller systems man and cybernetics. ,vol. 30, pp. 303- 309 ,(2000) , 10.1109/3477.836378
Michel Grabisch, Henri Prade, Didier Dubois, Gradual rules and the approximation of control laws Theoretical aspects of fuzzy control. pp. 147- 181 ,(1995)