Title :
Self-organising fuzzy logic controller
Author :
Zhang, B.S. ; Edmunds, J.M.
Author_Institution :
Control Syst. Centre, Univ. of Manchester Inst. of Sci. & Technol., UK
fDate :
9/1/1992 12:00:00 AM
Abstract :
A frequently used learning algorithm for self-organising fuzzy logic control has been analysed and found to be inadequate for some applications. The key problem is how to gain the credit value for control rule modification. A new type of learning algorithm is proposed. Some supervision rules are given to secure rule modifications. A new approach is derived to calculate the credit value for the rule generation and modification. Simulation studies for controlling different process models and different model parameters are demonstrated.
Keywords :
adaptive control; fuzzy logic; learning systems; self-adjusting systems; adaptive control; control rule modification; credit value; learning algorithm; rule generation; self-adjusting systems; self-organising fuzzy logic control; supervision rules;
Journal_Title :
Control Theory and Applications, IEE Proceedings D
