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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2015 Volume 55, Number 5, Pages 742–757 (Mi zvmmf10199)

This article is cited in 1 paper

Numerical methods for control optimization in linear systems

A. I. Tyatyushkin

Institute of System Dynamics and Control Theory, Siberian Branch, Russian Academy of Sciences, ul. Lermontova 134, Irkutsk, 664033, Russia

Abstract: Numerical methods are considered for solving optimal control problems in linear systems, namely, terminal control problems with control and phase constraints and time-optimal control problems. Several algorithms with various computer storage requirements are proposed for solving these problems. The algorithms are intended for finding an optimal control in linear systems having certain features, for example, when the reachable set of a system has flat faces.

Key words: convex hull method, optimal control, time-optimal control problem, state constraints, adaptive algorithms, linear programming.

UDC: 519.626

MSC: Primary 49M29; Secondary 49M05

Received: 18.02.2014
Revised: 20.11.2014

DOI: 10.7868/S0044466915050166


 English version:
Computational Mathematics and Mathematical Physics, 2015, 55:5, 734–748

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