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    Multi-model robust control of depth of hypnosis

    , Article Biomedical Signal Processing and Control ; Volume 40 , 2018 , Pages 443-453 ; 17468094 (ISSN) Sadati, N ; Hosseinzadeh, M ; Dumont, G. A ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    This paper presents a multi-model robust control scheme to control the depth of hypnosis during intravenous administration of propofol. The objective of the proposed control scheme is to provide an adequate drug administration regime for propofol to avoid overdosing and underdosing of patients. The proposed scheme is designed to withstand the patient's inherent drug response variability, to achieve good output disturbance and sensor noise rejection, and to attain a good set point response. A comprehensive simulation study of 44 patients is presented to assess the performance of the proposed control scheme. © 2017 Elsevier Ltd  

    μ-Synthesis control for an islanded microgrid with structured uncertainties

    , Article IECON Proceedings (Industrial Electronics Conference), 7 November 2011 through 10 November 2011 ; November , 2011 , Pages 3064-3069 ; 9781612849720 (ISBN) Babazadeh, M ; Karimi, H ; Sharif University of Technology
    2011
    Abstract
    This paper presents a robust control scheme for an islanded microgrid in the presence of structured uncertainties. The microgrid consists of parallel connection of two Distributed Generation (DG) units and a passive load. The DG units are connected to the passive load by using the power electronics converters. The microgrid model is structurally uncertain due to the large perturbations in the load parameters. To deal with the uncertainties, a Linear Fractional Representation (LFR) of the parametrically uncertain system is obtained. To achieve robust performance, the μ-synthesis approach is applied to the derived LFR model to design a μ controller. The resultant controller is structurally...