Adaptive controller using fixed point transformation for regulating propofol administration through wavelet-based anesthetic value

Abstract

In recent years automated anesthesia has gained much interest. In this paper the applicability of the Fixed Point Transformation-based Adaptive Control design for automatic control of the depth of hypnosis during surgical operation has been investigated. The applied control design assumes the availability of the rough model of the dynamic system under control. The here presented technique regulates the WAVCNS index as the only measurable variable by controling the intravenous propofol administration. Simulation results validate that the proposed control design ensures promising performance and is able to cope with unexpected surgical stimulations and anesthetic interactions during surgical procedures.