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 Ural Math. J., 2017, Volume 3, Issue 1, paper published in the English version journal (Mi umj31)

An algorithm for computing boundary points of reachable sets of control systems under integral constraints

Mikhail I. Gusev

Krasovskii Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciences, 16 S.Kovalevskaya str., 620990, Ekaterinburg, Russia

Abstract: In this paper we consider a reachability problem for a nonlinear affine-control system with integral constraints , which assumed to be quadratic in the control variables. Under controllability assumptions it was proved [8] that any admissible control, that steers the control system to the boundary of its reachable set, is a local solution to an optimal control problem with an integral cost functional and terminal constraints. This results in the Pontriagyn maximum principle for boundary trajectories. We propose here an numerical algorithm for computing the reachable set boundary based on the maximum principle and provide some numerical examples.

Keywords: Optimal control, Reachable set, Integral constraints, Boundary points, Pontriagyn maximumprinciple.

 Funding Agency Grant Number Russian Science Foundation 16-11-10146 The research is supported by Russian Science Foundation, project No. 16-11-10146.

DOI: https://doi.org/10.15826/umj.2017.1.003

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\Bibitem{Gus17} \mathnet{http://mi.mathnet.ru/umj31} \crossref{https://doi.org/10.15826/umj.2017.1.003}