Strong maximum principle for systems of differential inclusions

Research output: Chapter in Book/Report/Conference proceedingChapter

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Abstract

We present a version of the finite-dimensional Maximum Principle for systems of differential inclusions, that contains as particular cases previous versions for control systems as well as for a single differential inclusion. The result incorporates high-order point variations and is valid under minimal technical assumptions, weaker than those of most classical and non-smooth versions. The proof follows the classical idea of using needle variations and applying an appropriate open mapping theorem to a multiparameter variation, whose effect is computed in terms of those of the needle variations by means of the chain rule. However, this has to be carried out in a new setting, namely, the class of `semidifferentiable maps,' that contains all maps arising in the optimal control problem and has a concept of generalized differential with all the right properties. We depart from the most common approaches to the problem by reducing the differential inclusions case to the vector field system case, in spite of the fact that set-valued functions - even if they are continuous or Lipschitz or smooth - in general fail to have continuous selections. The key technical tool enabling us to carry out the reduction anyhow is a generalization of a selection theorem due to A. Bressan, which yields the existence, for almost lower semicontinuous set-valued maps, of selections that, while not necessarily continuous, are time-varying vector fields with good properties, such as local existence of trajectories and upper semi-continuity of the (set-valued) flow.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Editors Anon
Pages1809-1814
Number of pages6
StatePublished - Dec 1 1996
EventProceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4) - Kobe, Jpn
Duration: Dec 11 1996Dec 13 1996

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2
ISSN (Print)0191-2216

Other

OtherProceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4)
CityKobe, Jpn
Period12/11/9612/13/96

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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