Error estimates for Runge–Kutta schemes of optimal control problems with index 1 DAEs

Björn Martens ()
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Björn Martens: Universität der Bundeswehr München

Computational Optimization and Applications, 2023, vol. 86, issue 3, No 17, 1299-1325

Abstract: Abstract In this paper we derive error estimates for Runge–Kutta schemes of optimal control problems subject to index one differential–algebraic equations (DAEs). Usually, Runge–Kutta methods applied to DAEs approximate the differential and algebraic state in an analogous manner. These schemes can be considered as discretizations of the index reduced system where the algebraic equation is solved for the algebraic variable to get an explicit ordinary differential equation. However, in optimal control this approach yields discrete necessary conditions that are not consistent with the continuous necessary conditions which are essential for deriving error estimates. Therefore, we suggest to treat the algebraic variable like a control, obtaining a new type of Runge–Kutta scheme. For this method we derive consistent necessary conditions and compare the discrete and continuous systems to get error estimates up to order three for the states and control as well as the multipliers.

Keywords: Optimal control; Differential–algebraic equation; Discrete approximations; Convergence analysis; Runge–Kutta schemes; 49J15; 49K15; 49M25; 34A09; 65L06 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10589-023-00484-1

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