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Pontryagin Principle for State-Constrained Control Problems Governed by a First-Order PDE System

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Abstract

This paper considers multidimensional control problems governed by a first-order PDE system and state constraints. After performing the standard Young measure relaxation, we are able to prove the Pontryagin principle by means of an ∈-maximum principle. Generalizing the common setting of one-dimensional control theory, we model piecewise-continuous weak derivatives as functions of the first Baire class and obtain regular measures as corresponding multipliers. In a number of corollaries, we derive necessary optimality conditions for local minimizers of the state-constrained problem as well as for global and local minimizers of the unconstrained problem.

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References

  1. Pickenhain, S., and Wagner, M., Critical Points in Relaxed Deposit Problems, Calculus of Variations and Optimal Control, Edited by A. Ioffe, S. Reich, and I. Shafrir, Chapman and Hall, CRC Press, Boca Raton, Florida, pp. 217–236, 1999.

    Google Scholar 

  2. Morrey, C. B., Multiple Integrals in the Calculus of Variations, Springer, Berlin, Germany, 1966.

    Google Scholar 

  3. Alt, H. W., Lineare Funktionalanalysis, Springer, Berlin, Germany, 1992.

    Google Scholar 

  4. Wagner, M., Pontryagin's Maximum Principle for Dieudonné—Rashevsky Type Problems Involving Lipschitz Functions, Optimization, Vol. 46, pp. 165–184, 1999.

    Google Scholar 

  5. KlÖtzler, R., and Pickenhain, S., Pontryagin's Maximum Principle for Multidimensional Control Problems, International Series of Numerical Mathematics, Birkhäuser, Basel, Switzerland, Vol. 111, pp. 21–30, 1993.

    Google Scholar 

  6. Pickenhain, S., Maximum Principle for Multidimensional Relaxed Control Problems, System Modelling and Optimization, Edited by P. Kall, Lecture Notes in Control and Information Science, Springer, New York, NY, Vol. 180, pp. 424–432, 1992.

    Google Scholar 

  7. Pickenhain, S., A Pointwise Maximum Principle in Optimal Control with Multiple Integrals, Optimization, Vol. 38, pp. 343–355, 1996.

    Google Scholar 

  8. Wagner, M., Erweiterungen des mehrdimensionalen Pontrjaginschen Maximumprinzips auf meβbare und beschränkte sowie distributionelle Steuerungen, Universität Leipzig, Leipzig, Germany, Dissertation, 1996.

    Google Scholar 

  9. CarathÉodory, C., Vorlesungen über reelle Funktionen, Chelsea, New York, NY, 1968.

  10. Ioffe, A. D., and Tichomirov, V. M., Theorie der Extremalaufgaben, VEB Deutscher Verlag der Wissenschaften, Berlin, Germany, 1979.

    Google Scholar 

  11. Gamkrelidze, R. V., Principles of Optimal Control Theory, Plenum Press, New ork, NY, 1978.

    Google Scholar 

  12. Ginsburg, B., and Ioffe, A. D., The Maximum Principle in Optimal Control of Systems Governed by Semilinear Equations, Nonsmooth Analysis and Geometric Methods in Deterministic Optimal Control, Edited by B. S. Mordukhovich and H. J. Sussmann, Springer, New York, NY, pp. 81–110, 1996.

    Google Scholar 

  13. Dunford, N., and Schwartz, J. T., Linear Operators, Part 1: General Theory, Wiley-Interscience, New York, NY, 1988.

    Google Scholar 

  14. Kraut, H., and Pickenhain, S., Erweiterung von mehrdimensionalen Steuerungsproblemen und Dualität, Optimization, Vol. 21, pp. 387–397, 1990.

    Google Scholar 

  15. Pickenhain, S., Beiträge zur Theorie mehrdimenionaler verallgemeinerter Steuerungsprobleme, Universität Leipzig, Leipzig, Germany, Habilitationsschrift, 1991.

    Google Scholar 

  16. Aubin, J. P., and Frankowska, H., Set-Valued Analysis, Birkhaüser, Boston, Massachusetts, 1990.

    Google Scholar 

  17. Kraut, H., Optimale Korridore in Steuerungsproblemen, Karl Marx Universität Leipzig, Leipzig, Germany, Dissertation, 1990.

    Google Scholar 

  18. Clarke, F.H., Optimization and Nonsmooth Analysis. Wiley’Interscience, New York, NY, 1983.

    Google Scholar 

  19. Klee, V. L., Separation Properties of Convex Cones, Proceedings of the American Mathematical Society, Vol. 6, pp. 313–318, 1955.

    Google Scholar 

  20. Zeidler, E., Nonlinear Functional Analysis and Its Applications, Vol. 3: Variational Methods and Optimization, Springer, New York, NY, 1984.

    Google Scholar 

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Pickenhain, S., Wagner, M. Pontryagin Principle for State-Constrained Control Problems Governed by a First-Order PDE System. Journal of Optimization Theory and Applications 107, 297–330 (2000). https://doi.org/10.1023/A:1026481403476

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