Title :
Rules extraction for fuzzy control systems
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
A method of extracting the control rules for a fuzzy controller is proposed. The method successfully constructs the rule base for a fuzzy controller, which is usually provided by human experts. By using the concepts of cell state space and performance evaluation, an optimization algorithm is able to achieve the proper control of a process. The control rules can then be retrieved from the output of this algorithm. This method extracts qualitative control rules from the quantitative processes
Keywords :
control system analysis; fuzzy set theory; knowledge based systems; state-space methods; control rules; fuzzy control systems; optimization; rule base; state space; Automatic control; Computational modeling; Control systems; Fuzzy control; Humans; Process control; Robust control; Space heating; Space stations; State-space methods;
Conference_Titel :
Systems, Man and Cybernetics, 1989. Conference Proceedings., IEEE International Conference on
Conference_Location :
Cambridge, MA
DOI :
10.1109/ICSMC.1989.71352
