Multi-drug infusion control using model reference adaptive algorithm [PDF]
, 2011 Control of physiological states such as mean arterial pressure (MAP) has been successfully achieved using single drug by different control algorithms. Multi-drug delivery demonstrates a significantly challenging task as compared to control with a single ...
Enbiya, Saleh +2 more
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Adaptive output feedback control of aircraft flexible modes [PDF]
, 2012 The application of adaptive output feedback augmentative control to the flexible aircraft problem is presented. Experimental validation of control scheme was carried out using a three disk torsional pendulum.
Bordeneuve-Guibé, Joël +1 more
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Adaptive reference model predictive control for power electronics [PDF]
, 2016 An adaptive reference model predictive control (ARMPC) approach is proposed as an alternative means of controlling power converters in response to the issue of steady-state residual errors presented in power converters under the conventional model ...
Hui, SY, Tan, SC, Yang, Y
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Adaptive control of nonlinear dynamical systems using a model reference approach [PDF]
, 2003 In this paper we consider using a model reference adaptive control approach to control nonlinear systems. We consider the controller design and stability analysis associated with these type of adaptive systems.
Wagg, D.J.
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The potential of fractional order distributed MPC applied to steam/water loop in large scale ships [PDF]
, 2020 The steam/water loop is a crucial part of a steam power plant. However, satisfying control performance is difficult to obtain due to the frequent disturbance and load fluctuation.
Cajo Diaz, Ricardo Alfredo +3 more
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Model Reference Predictive Adaptive Control for Large-Scale Soft Robots
Frontiers in Robotics and AI, 2020 Past work has shown model predictive control (MPC) to be an effective strategy for controlling continuum joint soft robots using basic lumped-parameter models.
Phillip Hyatt +2 more
doaj +1 more source
Tuning Controller for Induction Motor using Model Reference Adaptive Control [PDF]
Engineering and Technology Journal, 2010 This paper is an attempt to design an adaptive controller using model referenceadaptive control algorithm involving Indirect Field Oriented Control of an A.C.Induction Machine as a nonlinear plant, without the need for modeling (knowingthe plant ...
Nihad Mohammed Ameen +1 more
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Deep Model Reference Adaptive Control [PDF]
2019 IEEE 58th Conference on Decision and Control (CDC), 2019 We present a new neuroadaptive architecture: Deep Neural Network based Model Reference Adaptive Control (DMRAC). Our architecture utilizes the power of deep neural network representations for modeling significant nonlinearities while marrying it with the boundedness guarantees that characterize MRAC based controllers. We demonstrate through simulations
Joshi, Girish, Chowdhary, Girish
openaire +2 more sources
Algorithms for adaptive control of two-arm flexible manipulators under uncertainty [PDF]
, 1988 A nonlinear extension of model reference adaptive control (MRAC) technique is used to guide a double arm nonlinearizable robot manipulator with flexible links, driven by actuators collocated with joints subject to uncertain payload and inertia.
Skowronski, J. M.
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Fractional-Order Closed-Loop Model Reference Adaptive Control for Anesthesia
Algorithms, 2018 The design of a fractional-order closed-loop model reference adaptive control (FOCMRAC) for anesthesia based on a fractional-order model (FOM) is proposed in the paper.
Gerardo Navarro-Guerrero, Yu Tang
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