1997
DOI: 10.1090/s0002-9947-97-01795-9
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Euler-Lagrange and Hamiltonian formalisms in dynamic optimization

Abstract: Abstract. We consider dynamic optimization problems for systems governed by differential inclusions. The main focus is on the structure of and interrelations between necessary optimality conditions stated in terms of EulerLagrange and Hamiltonian formalisms. The principal new results are: an extension of the recently discovered form of the Euler-Weierstrass condition to nonconvex valued differential inclusions, and a new Hamiltonian condition for convex valued inclusions. In both cases additional attention was… Show more

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Cited by 92 publications
(21 citation statements)
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“…Inequality (27) then implies that p is everywhere nonzero. Finally, p satisfies boundary conditions (12) and maximum principle (13). It follows once more that x * is not controllable relative to C and this completes the proof.…”
Section: 3mentioning
confidence: 57%
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“…Inequality (27) then implies that p is everywhere nonzero. Finally, p satisfies boundary conditions (12) and maximum principle (13). It follows once more that x * is not controllable relative to C and this completes the proof.…”
Section: 3mentioning
confidence: 57%
“…Taking the limit in (30), and (31) we see that p also satisfies the boundary conditions (12) and maximum principle (13). Finally, we must have p(t) ≥ 1 + k 2 F −1/2 for some t ∈ [0, T ] and it follows from (27) that p is everywhere nonzero, hence x * is not controllable relative to C.…”
Section: 3mentioning
confidence: 96%
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“…These problems were first studied in the works of Rockafellar [21][22][23]. After these works many different approaches were suggested to studying nonsmooth problems of the calculus of variations (cf., for details, [5][6][7]14,15,[17][18][19]25,26]); however, all existing approaches have some disadvantages, that make their practical applications quite difficult.…”
Section: Introductionmentioning
confidence: 99%