Title :
Fuzzy inverse incremental model as tracking controller for SISO systems
Author :
Joshi, Mahesh V. ; Poonacha, P.G. ; Seth, B.
Author_Institution :
Indian Inst. of Technol., Bombay, India
Abstract :
The problems encountered in using a fuzzy logic-based single neuron controller (SNC) for the tracking control of nonlinear SISO systems are shown to be overcome by the use of a fuzzy inverse incremental model (FIIM) of the same process as the tracking controller. The proposed method of tracking control uses online tuning of the universe of discourse and online identification of the FIIM. Three different algorithms for the linguistic/fuzzy modeling of SISO systems are proposed. The comparative results of using these algorithms for the tracking control of some nonlinear systems are shown
Keywords :
fuzzy control; fuzzy logic; identification; modelling; nonlinear control systems; online operation; tracking; fuzzy inverse incremental model; fuzzy logic-based single neuron controller; fuzzy modeling; fuzzy variable; linguistic modeling; linguistic value; membership function; nonlinear SISO systems; online identification; online tuning; tracking controller; universe of discourse; Automatic control; Control system synthesis; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Humans; Inverse problems; Nonlinear control systems;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343600
