Numerical Methods for Solving Linear Time Varying Quadratic Optimal Control Problems

In this article, we discussed linear time varying optimal control problems with quadratic performance index, and approximated control variable, state variable and performance index. There are many different numerical processes for approximating of linear time varying quadratic optimal control proble...

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Published in:Results in Control and Optimization
Main Author: Adane Akate Ayalew
Format: Article
Language:English
Published: Elsevier 2022-09-01
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666720722000364
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author Adane Akate Ayalew
author_facet Adane Akate Ayalew
author_sort Adane Akate Ayalew
collection DOAJ
container_title Results in Control and Optimization
description In this article, we discussed linear time varying optimal control problems with quadratic performance index, and approximated control variable, state variable and performance index. There are many different numerical processes for approximating of linear time varying quadratic optimal control problem. Two of those are explained here the Legendre scaling function and Chebyshev scaling function methods using the MATLAB. The methods will be explained, and then applied to test problems to see how they perform. The results show that the Legendre scaling function was the best of the Chebyshev scaling function methods being a computation. Hence, the Legendre scaling function method is more suitable for solving the linear time varying quadratic optimal control systems.
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spelling doaj-art-d7fcdc2f1f894c2f8e5bc6a46bcb37cd2025-08-19T21:40:05ZengElsevierResults in Control and Optimization2666-72072022-09-01810016110.1016/j.rico.2022.100161Numerical Methods for Solving Linear Time Varying Quadratic Optimal Control ProblemsAdane Akate Ayalew0Collage of Natural and Computational Science, Department of Mathematics, Mekdela Amba University, Tulu Awulia, P. Box. 32, EthiopiaIn this article, we discussed linear time varying optimal control problems with quadratic performance index, and approximated control variable, state variable and performance index. There are many different numerical processes for approximating of linear time varying quadratic optimal control problem. Two of those are explained here the Legendre scaling function and Chebyshev scaling function methods using the MATLAB. The methods will be explained, and then applied to test problems to see how they perform. The results show that the Legendre scaling function was the best of the Chebyshev scaling function methods being a computation. Hence, the Legendre scaling function method is more suitable for solving the linear time varying quadratic optimal control systems.http://www.sciencedirect.com/science/article/pii/S2666720722000364Optimal control problemsLegendre scaling functionChebyshev scaling functionState variableControl variable
spellingShingle Adane Akate Ayalew
Numerical Methods for Solving Linear Time Varying Quadratic Optimal Control Problems
Optimal control problems
Legendre scaling function
Chebyshev scaling function
State variable
Control variable
title Numerical Methods for Solving Linear Time Varying Quadratic Optimal Control Problems
title_full Numerical Methods for Solving Linear Time Varying Quadratic Optimal Control Problems
title_fullStr Numerical Methods for Solving Linear Time Varying Quadratic Optimal Control Problems
title_full_unstemmed Numerical Methods for Solving Linear Time Varying Quadratic Optimal Control Problems
title_short Numerical Methods for Solving Linear Time Varying Quadratic Optimal Control Problems
title_sort numerical methods for solving linear time varying quadratic optimal control problems
topic Optimal control problems
Legendre scaling function
Chebyshev scaling function
State variable
Control variable
url http://www.sciencedirect.com/science/article/pii/S2666720722000364
work_keys_str_mv AT adaneakateayalew numericalmethodsforsolvinglineartimevaryingquadraticoptimalcontrolproblems