Design and Investigation of Model Predictive Controllers based on Analog Circuits, M.Sc. Thesis Sharif University of Technology ; Pishvaie, Mahmoud Reza (Supervisor) ; Vafa, Ehsan (Supervisor)
Abstract
Model Predictive Controllers are one of the most powerful control strategies. This type of controller operates on the basis of optimizing an objective function. In some control problems, model predictive controllers cannot be used due to the high number of optimization variables and high sampling rate. In order to be able to use this type of controllers in these systems, solutions have been proposed, one of which is to perform the optimization using analog computation. In this thesis, it is assumed that the optimization problem is linear or quadratic programming, and for each of these optimization problems, analog architectures are presented that perform the optimization based on analog...
Cataloging briefDesign and Investigation of Model Predictive Controllers based on Analog Circuits, M.Sc. Thesis Sharif University of Technology ; Pishvaie, Mahmoud Reza (Supervisor) ; Vafa, Ehsan (Supervisor)
Abstract
Model Predictive Controllers are one of the most powerful control strategies. This type of controller operates on the basis of optimizing an objective function. In some control problems, model predictive controllers cannot be used due to the high number of optimization variables and high sampling rate. In order to be able to use this type of controllers in these systems, solutions have been proposed, one of which is to perform the optimization using analog computation. In this thesis, it is assumed that the optimization problem is linear or quadratic programming, and for each of these optimization problems, analog architectures are presented that perform the optimization based on analog...
Find in contentBookmark |
|