Numerical Discretization Methods for the Discounted Linear Quadratic Control Problem

Fuente: arXiv
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Hauptverfasser: Zhang, Zhanhao, Hørsholt, Steen, Jørgensen, John Bagterp
Format: Preprint
Veröffentlicht: 2024
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author Zhang, Zhanhao
Hørsholt, Steen
Jørgensen, John Bagterp
author_facet Zhang, Zhanhao
Hørsholt, Steen
Jørgensen, John Bagterp
contents This study focuses on the numerical discretization methods for the continuous-time discounted linear-quadratic optimal control problem (LQ-OCP) with time delays. By assuming piecewise constant inputs, we formulate the discrete system matrices of the discounted LQ-OCPs into systems of differential equations. Subsequently, we derive the discrete-time equivalent of the discounted LQ-OCP by solving these systems. This paper presents three numerical methods for solving the proposed differential equations systems: the fixed-time-step ordinary differential equation (ODE) method, the step-doubling method, and the matrix exponential method. Our numerical experiment demonstrates that all three methods accurately solve the differential equation systems. Interestingly, the step-doubling method emerges as the fastest among them while maintaining the same level of accuracy as the fixed-time-step ODE method.
format Preprint
id arxiv_https___arxiv_org_abs_2407_18769
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Numerical Discretization Methods for the Discounted Linear Quadratic Control Problem
Zhang, Zhanhao
Hørsholt, Steen
Jørgensen, John Bagterp
Optimization and Control
This study focuses on the numerical discretization methods for the continuous-time discounted linear-quadratic optimal control problem (LQ-OCP) with time delays. By assuming piecewise constant inputs, we formulate the discrete system matrices of the discounted LQ-OCPs into systems of differential equations. Subsequently, we derive the discrete-time equivalent of the discounted LQ-OCP by solving these systems. This paper presents three numerical methods for solving the proposed differential equations systems: the fixed-time-step ordinary differential equation (ODE) method, the step-doubling method, and the matrix exponential method. Our numerical experiment demonstrates that all three methods accurately solve the differential equation systems. Interestingly, the step-doubling method emerges as the fastest among them while maintaining the same level of accuracy as the fixed-time-step ODE method.
title Numerical Discretization Methods for the Discounted Linear Quadratic Control Problem
topic Optimization and Control
url https://arxiv.org/abs/2407.18769