Title :
Self-organising fuzzy logic control and application to muscle relaxant anaesthesia
Author :
Linkens, D.A. ; Hasnain, S.B.
Author_Institution :
Dept. of Control Eng., Sheffield Univ., UK
fDate :
5/1/1991 12:00:00 AM
Abstract :
The use of self-organising fuzzy logic control for automated drug delivery in muscle relaxant anaesthesia is described. The self-elicitation of a knowledge base is shown to be robust in the presence of model uncertainty, noise contamination, and parameter changes. Being computing intensive, self-organising fuzzy logic control is considered for parallel implementation on transputers, both through use of a LISP interpreter and through direct OCCAM coding. The OCCAM code gave a fast implementation, which could be further improved by using multiple transputers
Keywords :
adaptive control; biocontrol; fuzzy logic; knowledge acquisition; muscle; parallel processing; self-adjusting systems; LISP interpreter; automated drug delivery; direct OCCAM coding; knowledge base; model uncertainty; muscle relaxant anaesthesia; noise contamination; parallel implementation; parameter changes; self-organising fuzzy logic control;
Journal_Title :
Control Theory and Applications, IEE Proceedings D