Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/14198
Title: MODEL REFERENCE ADAPTIVE CONTROL USING NEURAL NETWORKS
Authors: Shukla, Rohit
Keywords: quick overview
Model Reference
Adaptive
network
Issue Date: Jul-2016
Publisher: ELECTRICAL ENGINEERING IITR
Abstract: The thesis presents a quick overview of Model Reference Adaptive Control (MRAC). The thesis presents model reference based neural network structure that can be used for adaptive control of linear and nonlinear processes. The proposed MRAC neural network scheme is simulated to control the movement of a simple, single-link robot arm. The simulation results show that neural network based MRAC can give satisfactory performance requirements
URI: http://hdl.handle.net/123456789/14198
Appears in Collections:MASTERS' DISSERTATIONS (Electrical Engg)

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