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Differential sensitivity of solutions of convex constrained optimal control problems for discrete systems

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Abstract

A family of optimal control problems for discrete systems that depend on a real parameter is considered. The problems are strongly convex and subject to state and control constraints. Some regularity conditions are imposed on the constraints.

The control problems are reformulated as mathematical programming problems. It is shown that both the primal and dual optimal variables for these problems are right-differentiable functions of a parameter. The right-derivatives are characterized as solutions to auxiliary quadratic control problems. Conditions of continuous differentiability are discussed, and some estimates of the rate of convergence of the difference quotients to the respective derivatives are given.

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References

  1. Fiacco, A. V.,Sensitivity Analysis for Nonlinear Programming Using Penalty Methods, Mathematical Programming, Vol. 10, pp. 287–311, 1976.

    Google Scholar 

  2. Fiacco, A. V.,Nonlinear Programming Sensitivity Analysis Results Using Strong Second-Order Assumptions, Numerical Optimization of Dynamic Systems, Edited by L. C. W. Dixon and G. P. Szegö, North-Holland, Amsterdam, Holland, 1980.

    Google Scholar 

  3. Bigelow, J. H., andShapiro, N. Z.,Implicit Function Theorems for Mathematical Programming and for Systems of Inequalities, Mathematical Programming, Vol. 6, pp. 141–156, 1974.

    Google Scholar 

  4. Jittorntrum, K.,Sequential Algorithms in Nonlinear Programming, Australian National University, Canberra, Australia, PhD Thesis, 1978.

    Google Scholar 

  5. Jittorntrum, K.,Solution Point Differentiability without Strict Complementarity in Nonlinear Programming, Mathematical Programming Study, Vol. 21, pp. 127–138, 1984.

    Google Scholar 

  6. Robinson, S. M.,Strongly Regular Generalized Equations, Mathematics of Operation Research, Vol. 5, pp. 43–62, 1980.

    Google Scholar 

  7. Haraux, A.,Dérivation dans les Inéquations Variationelles, Compte Rendus de l'Academie des Sciences, Paris, Serie A, Vol. 278, pp. 1257–1260, 1974.

    Google Scholar 

  8. Mignot, F.,Contrôl dans les Inéquations Variationelles, Journal of Functional Analysis, Vol. 22, pp. 130–185, 1976.

    Google Scholar 

  9. Sokołowski. J.,Sensitivity Analysis of Control Constrained Optimal Control Problems for Distributed Systems, SIAM Journal on Control and Optimization (to appear).

  10. Malanowski, K.,Differential Stability of Solutions to Convex, Control Constrained Optimal Control Problems, Applied Mathematics and Optimization, Vol. 12, pp. 1–14, 1984.

    Google Scholar 

  11. Malanowski, K.,On Differentiability with Respect to a Parameter of Solutions to Convex Optimal Control Problems Subject to State Space Constraints, Applied Mathematics and Optimization, Vol. 12, pp. 231–245, 1984.

    Google Scholar 

  12. Canon, M. D., Cullum, C. D., andPolak, E.,Theory of Optimal Control and Mathematical Programming, McGraw-Hill, New York, New York, 1970.

    Google Scholar 

  13. Malanowski, K.,Differential Sensitivity of Solutions to Convex Programming Problems without Strict Complementarity Assumption, Technical Report No. ZTS-3-4/83, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, 1983.

    Google Scholar 

  14. Hager, W. W.,Lipschitz Continuity for Constrained Processes, SIAM Journal on Control and Optimization, Vol. 17, pp. 321–337, 1979.

    Google Scholar 

  15. Auslender, A.,Differential Stability in Nonconvex and Nondifferentiable Programming, Mathematical Programming Study, Vol. 10, pp. 29–41, 1979.

    Google Scholar 

  16. Gauvin, J., andDubeau, F.,Differential Properties of the Marginal Function in Mathematical Programming, Mathematical Programming Study, Vol. 19, pp. 101–119, 1982.

    Google Scholar 

  17. Lempio, P., andMaurer, H.,Differential Stability in Infinite-Dimensional Mathematical Programming, Applied Mathematics and Optimization, Vol. 6, pp. 139–152, 1980.

    Google Scholar 

  18. Rockafellar, R. T.,Lagrange Multipliers and Subderivatives of Optimal Value Functions in Nonlinear Programming, Mathematical Programming Study, Vol. 17, pp. 28–66, 1980.

    Google Scholar 

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Communicated by E. Polak

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Malanowski, K. Differential sensitivity of solutions of convex constrained optimal control problems for discrete systems. J Optim Theory Appl 53, 429–449 (1987). https://doi.org/10.1007/BF00938948

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