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
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;
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
DOI :
10.1109/IFIS.1993.324199