Abstract
Direct adaptive fuzzy controller is a class of adaptive fuzzy controllers which use fuzzy logic system (FLS) as controller. Interval type-2 fuzzy sets are able to model and minimize the numerical and linguistic uncertainties associated with the inputs and outputs of fuzzy logic controller (FLC). In this paper, a direct adaptive interval type-2 FLC is proposed for controlling the multivariable anaesthesia system to overcome the uncertainty problem that introduced by large inter and intra-individual variability of the patient’s parameters. Simulation results show good performance over a wide range of inter-individual variability of parameters. Also, results show better performance for the proposed controller under the effect of intra-individual variability of parameters than interval type-2 FLC. So, adaptive interval type-2 FLC affords some improvements in performance over the interval type-2 FLC.
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