Optimal Control Problems with Mixed Constraints
We develop necessary conditions of broad applicability for optimal control problems in which the state and control are subject to mixed constraints. We unify, subsume, and significantly extend most of the results on this subject, notably in the three special cases that comprise the bulk of the liter...
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Published in | SIAM journal on control and optimization Vol. 48; no. 7; pp. 4500 - 4524 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Philadelphia, PA
Society for Industrial and Applied Mathematics
01.01.2010
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Subjects | |
Online Access | Get full text |
ISSN | 0363-0129 1095-7138 |
DOI | 10.1137/090757642 |
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Abstract | We develop necessary conditions of broad applicability for optimal control problems in which the state and control are subject to mixed constraints. We unify, subsume, and significantly extend most of the results on this subject, notably in the three special cases that comprise the bulk of the literature: calculus of variations, differential-algebraic systems, and mixed constraints specified by equalities and inequalities. Our approach also provides a new and unified calibrated formulation of the appropriate constraint qualifications, and shows how to extend them to nonsmooth data. Other features include a very weak hypothesis concerning the type of local minimum, nonrestrictive hypotheses on the data, and stronger conclusions, notably as regards the maximum (or Weierstrass) condition. The necessary conditions are stratified, in the sense that they are asserted on precisely the domain upon which the hypotheses (and the optimality) are assumed to hold. This leads to local, intermediate, and global versions of the necessary conditions, according to how the hypotheses are formulated. [PUBLICATION ABSTRACT] |
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AbstractList | We develop necessary conditions of broad applicability for optimal control problems in which the state and control are subject to mixed constraints. We unify, subsume, and significantly extend most of the results on this subject, notably in the three special cases that comprise the bulk of the literature: calculus of variations, differential-algebraic systems, and mixed constraints specified by equalities and inequalities. Our approach also provides a new and unified calibrated formulation of the appropriate constraint qualifications, and shows how to extend them to nonsmooth data. Other features include a very weak hypothesis concerning the type of local minimum, nonrestrictive hypotheses on the data, and stronger conclusions, notably as regards the maximum (or Weierstrass) condition. The necessary conditions are stratified, in the sense that they are asserted on precisely the domain upon which the hypotheses (and the optimality) are assumed to hold. This leads to local, intermediate, and global versions of the necessary conditions, according to how the hypotheses are formulated. We develop necessary conditions of broad applicability for optimal control problems in which the state and control are subject to mixed constraints. We unify, subsume, and significantly extend most of the results on this subject, notably in the three special cases that comprise the bulk of the literature: calculus of variations, differential-algebraic systems, and mixed constraints specified by equalities and inequalities. Our approach also provides a new and unified calibrated formulation of the appropriate constraint qualifications, and shows how to extend them to nonsmooth data. Other features include a very weak hypothesis concerning the type of local minimum, nonrestrictive hypotheses on the data, and stronger conclusions, notably as regards the maximum (or Weierstrass) condition. The necessary conditions are stratified, in the sense that they are asserted on precisely the domain upon which the hypotheses (and the optimality) are assumed to hold. This leads to local, intermediate, and global versions of the necessary conditions, according to how the hypotheses are formulated. [PUBLICATION ABSTRACT] |
Author | Clarke, Francis de Pinho, M. R. |
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Cites_doi | 10.1007/BF01128760 10.1007/s002459900117 10.1093/imamci/18.2.189 10.1016/S0362-546X(01)00094-3 10.1109/9.400492 10.1137/0314067 10.1137/0312016 10.1137/0327057 10.1137/060663623 10.1007/BF00941487 10.1016/S0022-247X(02)00351-7 10.1051/cocv:2005020 10.1090/S0002-9904-1975-13721-9 10.1137/S0363012994260945 10.2307/2154854 10.1006/jmaa.1997.5523 10.1137/S1052623401389774 |
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Keywords | Differential equation Differential system nonsinooth analysis Global local method mixed constraints Qualification 49K21 Nonsmooth analysis Algebraic system necessary conditions Optimal control Equality constraint Variational calculus Optimal control (mathematics) 49K15 Inequality |
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SubjectTerms | Applied sciences Calculus of variations Calculus of variations and optimal control Calibration Computer science; control theory; systems Control theory Control theory. Systems Differential equations Exact sciences and technology Formulations Hypotheses Inequalities Mathematical analysis Mathematics Optimal control Optimization Optimization and Control Sciences and techniques of general use Studies |
Title | Optimal Control Problems with Mixed Constraints |
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