2020
DOI: 10.1137/19m1273785
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A Higher-Order Maximum Principle for Impulsive Optimal Control Problems

Abstract: We consider a nonlinear system, affine with respect to an unbounded control u which is allowed to range in a closed cone. To this system we associate a Bolza type minimum problem, with a Lagrangian having sublinear growth with respect to u. This lack of coercivity gives the problem an impulsive character, meaning that minimizing sequences of trajectories happen to converge towards discontinuous paths. As is known, a distributional approach does not make sense in such a nonlinear setting, where, instead, a suit… Show more

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Cited by 13 publications
(15 citation statements)
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“…In particular, this result generalizes to impulsive trajectories a result that, for minimum time problems, has been established for absolutely continuous processes with unbounded controls (see [9]). The detailed proof of the result's main point is rather long and technical, and is provided -under much weaker regularity hypotheses-in [1]. Instead, here we just give some hints of the idea lying behind the stated higher order conditions.…”
Section: Introductionmentioning
confidence: 95%
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“…In particular, this result generalizes to impulsive trajectories a result that, for minimum time problems, has been established for absolutely continuous processes with unbounded controls (see [9]). The detailed proof of the result's main point is rather long and technical, and is provided -under much weaker regularity hypotheses-in [1]. Instead, here we just give some hints of the idea lying behind the stated higher order conditions.…”
Section: Introductionmentioning
confidence: 95%
“…At this point, we derive assertion (a) as soon as we choose δ such that 2δ + (1 + L)δ < δ ′ , since Ψ(T ,x(T )) = Ψ((ȳ 0 ,ȳ)(S)) ≤ Ψ((y 0 , y)(S)) = Ψ(T, x(T )), for all strict sense feasible processes verifying (11) for such δ. where W is as in (1). For any continuous vector field F : R n → R n , let us introduce the classical F -Hamiltonian…”
Section: Remark 26mentioning
confidence: 99%
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