RUS  ENG
Full version
JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2016 Volume 56, Number 2, Pages 224–237 (Mi zvmmf10339)

This article is cited in 11 papers

Numerical methods for solving terminal optimal control problems

A. Yu. Gornov, A. I. Tyatyushkin, E. A. Finkelshtein

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

Abstract: Numerical methods for solving optimal control problems with equality constraints at the right end of the trajectory are discussed. Algorithms for optimal control search are proposed that are based on the multimethod technique for finding an approximate solution of prescribed accuracy that satisfies terminal conditions. High accuracy is achieved by applying a second-order method analogous to Newton's method or Bellman's quasilinearization method. In the solution of problems with direct control constraints, the variation of the control is computed using a finite-dimensional approximation of an auxiliary problem, which is solved by applying linear programming methods.

Key words: numerical methods for optimal control problems, computational schemes, linearization algorithms, terminal functionals, finite-dimensional approximation.

UDC: 519.626

Received: 05.05.2015

DOI: 10.7868/S0044466916020095


 English version:
Computational Mathematics and Mathematical Physics, 2016, 56:2, 221–234

Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024