DocumentCode
2086336
Title
From min-max robust control to fuzzy logic control
Author
Liu, K. ; Lewis, F.L.
Author_Institution
Autom. & Robotics Res. Inst., Univ. of Texas at Arlington, Fort Worth, TX, USA
fYear
1993
fDate
1-3 Dec 1993
Firstpage
134
Lastpage
137
Abstract
The robust control of dynamical systems with bounded uncertainties is a challenging topic from either the theoretical or the practical point of view. The classical robust control, especially the so-called min-max control, may cause the whole dynamical system unstable due to its discontinuity. On the other hand, the fuzzy logic control, partially owe its success to the centroid defuzzification technique, makes the control signal always continuous and smooth while maintaining the merit of the min-max robust control. This paper deals with the transformation from min-max control to fuzzy logic control and discusses its implementation
Keywords
Lyapunov methods; fuzzy control; fuzzy set theory; minimax techniques; stability; Lyapunov function; SISO second order system; bounded uncertainties; centroid defuzzification; discontinuity; dynamical systems; fuzzy logic control; fuzzy set theory; membership function; minmax robust control; Asymptotic stability; Automatic control; Control system synthesis; Control systems; Fuzzy logic; Low pass filters; Maintenance engineering; Robotics and automation; Robust control; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Fuzzy Control and Intelligent Systems, 1993., IFIS '93., Third International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-1485-9
Type
conf
DOI
10.1109/IFIS.1993.324199
Filename
324199
Link To Document