An Efficient Hp Spectral Collocation Method for Nonsmooth Optimal Control Problems
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Kybernetika
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
One of the most challenging problems in the optimal control theory consists of solving the nonsmooth optimal control problems where several discontinuities may be present in the control variable and derivative of the state variable. Recently some extended spectral collocation methods have been introduced for solving such problems, and a matrix of differentiation is usually used to discretize and to approximate the derivative of the state variable in the particular collocation points. In such methods, there is typically no condition for the continuity of the state variable at the switching points. In this article, we propose an efficient hp spectral collocation method for the general form of nonsmooth optimal control problems based on the operational integration matrix. The time interval of the problem is first partitioned into several variable subintervals, and the problem is then discretized by considering the Legendre-Gauss-Lobatto collocation points. Here, the switching points are unknown parameters, and having solved the final discretized problem, we achieve some approximations for the optimal solutions and the switching points. We solve some comparative numerical test problems to support of the performance of the suggested approach.
Description
Keywords
Nonsmooth Optimal Control, Hp-Method, Lagrange Interpolating Polynomials, Legendre-Gauss-Lobatto Points
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
Hedayati, Mehrnoosh ;...et.al. (2022). "An Effıcıent Hp Spectral Collocatıon Method For Nonsmooth Optımal Control Problems", Kybernetika, Vol.58, No.6, pp.843-862.
WoS Q
Q3
Scopus Q
Q3

OpenCitations Citation Count
2
Source
Kybernetika
Volume
58
Issue
6
Start Page
843
End Page
862
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Scopus : 3
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Mendeley Readers : 2
SCOPUS™ Citations
3
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Web of Science™ Citations
3
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Page Views
3
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