2020
DOI: 10.21638/11701/spbu10.2018.403
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A method for solving differential inclusions with fixed right end

Abstract: In the paper, we study a differential inclusion with a given continuous convex multivalued mapping. For a given finite time interval, it is required to construct a solution of the differential inclusion, that satisfies the given initial condition or both the initial and final conditions. With the help of support functions, the original problem is reduced to the problem of global minimization of some functions in the space of piecewise continuous functions. In the case of continuous differentiability of the sup… Show more

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Cited by 3 publications
(2 citation statements)
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“…In paper [12] a method for solving the classical nonsmooth (but only subdifferential) variational problem is proposed based on the idea of considering phase trajectory and its derivative as independent variables (and taking the natural connection between these variables into account via the special penalty term). Reducing solving differential inclusions to a variational problem via corresponding support functions was carried out in papers [13], [14], [15]. Some other nonsmooth problems of optimal control and variational calculus were considered via similar methods in papers [16], [17].…”
Section: Introductionmentioning
confidence: 99%
“…In paper [12] a method for solving the classical nonsmooth (but only subdifferential) variational problem is proposed based on the idea of considering phase trajectory and its derivative as independent variables (and taking the natural connection between these variables into account via the special penalty term). Reducing solving differential inclusions to a variational problem via corresponding support functions was carried out in papers [13], [14], [15]. Some other nonsmooth problems of optimal control and variational calculus were considered via similar methods in papers [16], [17].…”
Section: Introductionmentioning
confidence: 99%
“…where instead of the phase variable ( ) one should write its expression via its derivative ( ) by formula (14). Then as previously construct the functional [1], [2] ( , , ) = [1], [2] ( , , ) + ( ),…”
Section: Denotementioning
confidence: 99%