Self-organising fuzzy logic control and application to muscle relaxant anaesthesia

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.