Work

A new method based on least-squares support vector regression for solving optimal control problems

Year: 2024

Type: article

Abstract: In this paper, a new application of the Least Squares Support Vector Regression (LS-SVR) with Legendre basis functions as mapping functions to a higher dimensional future space is considered for solving optimal control problems.At the final stage of LS-SVR, an optimization problem is formulated and solved using Maple optimization packages.The accuracy of the method are illustrated through numerical examples, including nonlinear optimal control problems.The results demonstrate that the proposed method is capable of solving optimal control problems with high accuracy.

Source: Kybernetika

DOI: 10.14736/kyb-2024-4-0513

Authors: Mitra Bolhassani, Hassan Dana Mazraeh, Kourosh Parand

Language: English

Topic: Advanced Control Systems Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4403497563

FWCI: 0.32

Cites: 18

Cited by: 2

Related to: 10