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Minimizers that are not Impulsive Minimizers and Higher Order Abnormality

Monica Motta, Michele Palladino, Franco Rampazzo

Abstract

This paper addresses two related problems in optimal control. The first investigation consists of compatibility issues between two classical approaches to deriving necessary conditions for optimal control problems with a final target: the set-separation approach and penalization techniques. These methods generally lead to non-equivalent conditions, mainly due to their reliance on different notions of tangency at the target. We address this issue by considering Quasi Differential Quotient (QDQ) approximating cones (which are fit for the set-separation approach) and identifying conditions under which the Clarke tangent cone (which is a typical tool within penalization techniques) is also a QDQ approximating cone. In particular, we show that this property holds under suitable local invariance assumptions or when the target coincides locally with an $r$-prox regular set. In the second part of the paper we apply this compatibility result to the study of infimum-gap phenomena in optimal control problems with unbounded controls and impulsive extensions. In particular, we establish a connection between the occurrence of infimum gaps for strict-sense minimizers and abnormality in a higher-order Maximum Principle involving Lie brackets. While the abnormality-gap correspondence beyond first-order conditions has been already established for extended-sense --i.e. impulsive-- minimizers, a topological argument involving the former and the utilization of the above compatibility issues allow us to extend this correspondence to strict-sense minimizers.

Minimizers that are not Impulsive Minimizers and Higher Order Abnormality

Abstract

This paper addresses two related problems in optimal control. The first investigation consists of compatibility issues between two classical approaches to deriving necessary conditions for optimal control problems with a final target: the set-separation approach and penalization techniques. These methods generally lead to non-equivalent conditions, mainly due to their reliance on different notions of tangency at the target. We address this issue by considering Quasi Differential Quotient (QDQ) approximating cones (which are fit for the set-separation approach) and identifying conditions under which the Clarke tangent cone (which is a typical tool within penalization techniques) is also a QDQ approximating cone. In particular, we show that this property holds under suitable local invariance assumptions or when the target coincides locally with an -prox regular set. In the second part of the paper we apply this compatibility result to the study of infimum-gap phenomena in optimal control problems with unbounded controls and impulsive extensions. In particular, we establish a connection between the occurrence of infimum gaps for strict-sense minimizers and abnormality in a higher-order Maximum Principle involving Lie brackets. While the abnormality-gap correspondence beyond first-order conditions has been already established for extended-sense --i.e. impulsive-- minimizers, a topological argument involving the former and the utilization of the above compatibility issues allow us to extend this correspondence to strict-sense minimizers.
Paper Structure (20 sections, 10 theorems, 86 equations, 1 figure)

This paper contains 20 sections, 10 theorems, 86 equations, 1 figure.

Key Result

Proposition 2.1

\newlabelteo20 Two convex cones ${\mathcal{K}}_1$, ${\mathcal{K}}_2\subseteq \mathbb{R}^n$ are transversal if and only if either they are strongly transversal or they are complementary linear subspaces, namely ${\mathcal{K}}_1\oplus{{\mathcal{K}}}_2=\mathbb{R}^n$ (i.e., ${\mathcal{K}}_1 +{\mathcal

Figures (1)

  • Figure 1: Tangent and normal cones

Theorems & Definitions (33)

  • Definition 1
  • Proposition 2.1
  • Proposition 2.2
  • Lemma 2.1
  • Proof 1
  • Definition 2
  • Remark 2.1
  • Proposition 2.3
  • Definition 1
  • Remark 3.1
  • ...and 23 more