Monitoring and control of anesthesia using multivariable self-organizing fuzzy logic structure

Abstract

In this chapter, the design and implementation of Self-Organizing Fuzzy Logic Controller (SOFLC) is explored with a particular application to control a multivariable model of anesthesia. A concept called decomposition of multivariable self-organizing fuzzy logic structure is proposed in this chapter. Hence, the basic forms of a simple 2 terms SOFLC to a multi-term complex multi-input/multi-output (MIMO) controller will be presented. Different design strategies of MIMO will be outlined and the application of SOFLC systems to muscle relaxation and depth of anesthesia control will be explored in the simulations. After comparison with four different MIMO controllers, the successful simulation results have given confidence to perform on-line clinical trials at the operating theatre in the near future. © 2009 Springer-Verlag Berlin Heidelberg.