52nd IEEE Conference on Decision and Control 2013
DOI: 10.1109/cdc.2013.6759934
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Free time optimal control problems with time delays

Abstract: This paper provides necessary conditions of optimality for optimal control problems with time delays in both state and control variables. Different versions of the necessary conditions cover fixed end-time problems and, under additional hypotheses, free end-time problems. The conditions improve on previous available conditions in a number of respects. They can be regarded as the first generalized Pontryagin Maximum Principle for fully non-smooth optimal control problems, involving delays in state and control v… Show more

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Cited by 12 publications
(19 citation statements)
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“…An illustrative example. Let us consider problem (P ) given by 4]. Thus, we have that n = m = 1, a = 0, b = 4, r = 2, s = 1, f 0 (t, x(t), x(t − 2)) = x(t), g 0 (t, u(t), u(t − 1)) = 100u 2 (t), A(t) = A D (t) = 1, g(t, u(t)) = 0 and g D (t, u(t − 1)) = −10u(t − 1).…”
Section: (A) We Have Thatmentioning
confidence: 99%
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“…An illustrative example. Let us consider problem (P ) given by 4]. Thus, we have that n = m = 1, a = 0, b = 4, r = 2, s = 1, f 0 (t, x(t), x(t − 2)) = x(t), g 0 (t, u(t), u(t − 1)) = 100u 2 (t), A(t) = A D (t) = 1, g(t, u(t)) = 0 and g D (t, u(t − 1)) = −10u(t − 1).…”
Section: (A) We Have Thatmentioning
confidence: 99%
“…Furthermore, necessary conditions and Hamilton-Jacobi equations are derived. In 2013, Boccia, Falugi, Maurer and Vinter derived necessary conditions for a free end-time optimal control problem subject to a non-linear differential system with multiple delays in the state [4]. The control variable is not influenced by time lags in [4].…”
mentioning
confidence: 99%
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“…Any pair (T,ũ) ∈ T ×Ũ is called an admissible pair. Letx(·|T,ũ) denote the solution of system (7) corresponding to a given admissible pair (T,ũ) ∈ T ×Ũ. Then the canonical constraints (4) becomẽ…”
Section: Problem Transformationmentioning
confidence: 99%
“…We are only aware of one reference (reference [7]) that tackles this class of problems. This reference describes a two-stage optimization approach in which the terminal time is optimized in the outer stage, and the control function is optimized in the inner stage.…”
Section: Introductionmentioning
confidence: 99%