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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2012 Issue 6, Pages 18–33 (Mi at3811)

This article is cited in 5 papers

Nonlinear Systems

Maximizing a state convex Lagrange functional in optimal control

A. S. Strekalovsky

Institute of System Dynamics and Control Theory, Siberian Branch, Russian Academy of Sciences, Irkutsk, Russia

Abstract: We consider the maximization problem for an integral functional with a state-convex integrand function along a standard control system. We show necessary and sufficient global optimality conditions related to the Pontryagin's maximum principle. We study the properties of these conditions and their relations with optimal control theory. We also illustrate the efficiency of the resulting conditions on specific examples.

Presented by the member of Editorial Board: I. V. Roublev

Received: 11.11.2010


 English version:
Automation and Remote Control, 2012, 73:6, 949–961

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