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Discrete Approximations in Optimal Control

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Part of the book series: The IMA Volumes in Mathematics and its Applications ((IMA,volume 78))

Abstract

In this paper we present two techniques for analysis of discrete approximations in optimal control. In Section 2 we study convergence properties of the optimal value and optimal solutions. In Section 3 we obtain an estimate for the optimal control error in the case when the Euler discretization scheme is used for solving the first-order optimality conditions. Section 4 contains a survey on related results.

This research was supported in part by the Institute for Mathematics and its Applications with funds provided by the National Science Foundation.

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References

  1. W. ALT, On the approximation of infinite optimization problems with an application to optimal control problems, Appl. Math. Optim. 12 (1984), 15–27.

    Article  MATH  MathSciNet  Google Scholar 

  2. H. ATTOUCH, R.J.-B. WETS, Approximation and convergence in nonlinear optimization, Nonlinear Programming 4, (edited by) O. MANGASARIAN, R. MEYER, S. ROBINSON, Academic Press, New York, 1981, pp. 367–394.

    Google Scholar 

  3. E.R. AVAKOV, F.P. VASIL’EV, Difference approximation of a maximin problem of optimal control with phase constraints, Vestnik Moscov. Univ., Ser XV, Vychisl. Mat. Kibernet. (Russian) 2 (1982), 11–17.

    MathSciNet  Google Scholar 

  4. M. BARDI, M. FALCONE, An approximationscheme for the minimum time function, SIAM J. Control Optim. 28 (1990), 950–965.

    Article  MATH  MathSciNet  Google Scholar 

  5. J.M. BORWEIN, A.S. LEWIS, Duality relationship for entropy-like minimization problems, SIAM J. Control Optim. 29 (1991), 325–338.

    Article  MATH  MathSciNet  Google Scholar 

  6. J.M. BORWEIN, A.S. LEWIS, Partially finite convex programming, Part I: quasi relative interiors and duality theory, Mathematical Programming 57 (1992), 15–48.

    Article  MATH  MathSciNet  Google Scholar 

  7. B.M. BUDAK, E.M. BERKOVICH, E.N. SOLOV’EVA, Difference approximations in optimal control problems, SIAM J. Control 7 (1969), 18–31. (originally published in Russian in Vestnik Mosk. Univ. Seriya I: Matemat. Mekhanika 2 (1968), 41–55).

    Article  MathSciNet  Google Scholar 

  8. B.M. BUDAK, E.M. BERKOVICH, E.N. SOLOV’EVA, The convergence of difference approximations in optimal control, Zh. Vychisl. Mat. i Math. Fiz. (Russian) 59 (1969), 533–547.

    Google Scholar 

  9. B.M. BUDAK, F.P. VASIL’EV, Some Computational Aspects of Optimal Control Problems, Moscow University Press, Moscow (Russian), 1975.

    Google Scholar 

  10. I. CAPUZZO DOLCETTA, On a discrete approximation of the Hamilton-Jacobi equation of dynamic programming, Appl. Math. Optim. 10 (1983), 367–377.

    Article  MathSciNet  Google Scholar 

  11. I. CHRYSSOVERGHI, A. BACOPOULOS, Discrete approximation of relaxed optimal control problems, J. Optim. Theory Appl. 65 (1990), 395–407.

    Article  MATH  MathSciNet  Google Scholar 

  12. M.G. CRANDALL, P.L. LIONS, TWO approximations of solutions of Hamilton-Jacobi equations, Math. of Comp. 43 (1984), 1–19.

    Article  MATH  MathSciNet  Google Scholar 

  13. J. CULLUM, Discrete approximations to continuous optimal control problems, SIAM J. Control 7 (1969), 32–49.

    Article  MATH  MathSciNet  Google Scholar 

  14. J. CULLUM, An explicit procedure for discretizingcontinuous, optimal control problems, Journ. of Optim. Theory and Appl. 8 (1971), 15–34.

    Article  MathSciNet  Google Scholar 

  15. J. CULLUM, Finite-dimensional approximations of state constrained continuous optimal control problems, SIAM J. Control 10 (1972), 649–670.

    Article  MATH  MathSciNet  Google Scholar 

  16. J.W. DANIEL, On the approximate minimization of functionals, Math. Computation 23 (1969), 573–581.

    Article  MATH  MathSciNet  Google Scholar 

  17. J.W. DANIEL, On the convergence of a numerical method in optimal control, J. Optim. Theory and Appl. 4 (1969), 330–342.

    Article  MATH  MathSciNet  Google Scholar 

  18. J.W. DANIEL, The Approximate Minimization of Functionals, Wiley-Interscience, New York, 1983.

    Google Scholar 

  19. A.L. DONTCHEV, Error estimates for a discrete approximation to constrained control problems, SIAM J. Numer. Anal. 18 (1981), 500–514.

    Article  MATH  MathSciNet  Google Scholar 

  20. A.L. DONTCHEV, Perturbations, Approximations and Sensitivity Analysis of Optimal Control Systems, Lecture Notes in Contr. Inf. Sci. 52, Springer, Berlin, 1983.

    Book  MATH  Google Scholar 

  21. A.L. DONTCHEV, Equivalent perturbations and approximations in optimal control, International Series Numer. Math. 84, Birkhäuser, 1988, pp. 43–54.

    MathSciNet  Google Scholar 

  22. A.L. DONTCHEV, Duality methods in constrained best interpolation, Mathematica Balkanica 1 (1987), 96–105.

    MATH  MathSciNet  Google Scholar 

  23. A.L. DONTCHEV, Best interpolation in a strip, J. Approx. Theory, 73 (1993), 334–342.

    Article  MATH  MathSciNet  Google Scholar 

  24. A.L. DONTCHEV, E.M. FARHI, Error estimates for discretized differential inclusions, Computing 41 (1989), 349–358.

    Article  MATH  MathSciNet  Google Scholar 

  25. A.L. DONTCHEV, W.W. HAGER, Lipschitz stability in nonlinear control and optimization, SIAM J. Control Optim. 31 (1993), 569–603.

    Article  MATH  MathSciNet  Google Scholar 

  26. A.L. DONTCHEV, W.W. HAGER, An inverse mapping theorem for set-valued maps, Proc. Amer. Math. Soc. 121 (1994), 481–489.

    Article  MATH  MathSciNet  Google Scholar 

  27. A.L. DONTCHEV, W.W. HAGER, Euler approximation to the feasible set, Num. Funct. Anal. Optim. 15 (1994), 245–262.

    Article  MATH  MathSciNet  Google Scholar 

  28. A.L. DONTCHEV, RL. KALCHEV, Duality and well-posedness in convex interpolation, Num. Funct. Anal. Optim. 10 (1989), 673–690.

    Article  MATH  MathSciNet  Google Scholar 

  29. A.L. DONTCHEV, F. LEMPIO, Difference methods for differential inclusions—a survey, SIAM Review 34 (1992), 263–294.

    Article  MATH  MathSciNet  Google Scholar 

  30. A.L. DONTCHEV, T. ZOLEZZI, Well-posed Optimization Problems, Lecture Notes in Math. 1543 Springer, Berlin, 1993.

    MATH  Google Scholar 

  31. J.C. DUNN, Diagonally modified conditional gradient method for input constrained optimal control problems, SIAM J. Control Optim. 24 (1986), 1177–1191.

    Article  MATH  MathSciNet  Google Scholar 

  32. Y.M. ERMOL’EV, V.P. GULENKO, T.I. TSARENKO, Finite Element Methods in Optimal Control, Naukova Dumka, Kiev (Russian), 1978.

    Google Scholar 

  33. M. FALCONE, A numerical approach to the infinite horizon problem of deterministic control theory, Appl. Math. Optim. 15 (1987), 1–13. Corrigenda: Appl. Math. Optim. 23 (1991), 213–214.

    Article  MATH  MathSciNet  Google Scholar 

  34. R.P. FEDORENKO, Approximate Solution of Optimal Control Problems, Nauka, Moscow (Russian), 1971.

    Google Scholar 

  35. R. GONZALES, E. ROFMAN, On deterministic control problems: an approximation procedure for the optimal cost. Part I: the stationary problem. Part II: the nonstationary case., SIAM J. Control Optim. 23 (1985), 242–265, 267–285.

    Article  MathSciNet  Google Scholar 

  36. W.W. HAGER, The Ritz-Trefftz method for state and control constrained optimal control problems, SIAM J. Numer. Anal. 12 (1975), 854–867.

    Article  MATH  MathSciNet  Google Scholar 

  37. W.W. HAGER, Rate ofconvergence for discrete approximations to unconstrained control problems, SIAM J. Numer. Anal. 13 (1976), 449–471.

    Article  MATH  MathSciNet  Google Scholar 

  38. W.W. HAGER, Convex control and dual approximations. Part 1. Part 2, Control & Cybern. 8 (1979), 5–12, 321–338.

    MathSciNet  Google Scholar 

  39. W.W. HAGER, Multiplier method for nonlinear optimal control, SIAM J. Numer. Anal. 27 (1990), 1061–1080.

    Article  MATH  MathSciNet  Google Scholar 

  40. W.W. HAGER, G.D. IANCULESCU, Dual approximations in optimal control, SIAM J. Control Optim. 22 (1984), 423–465.

    Article  MATH  MathSciNet  Google Scholar 

  41. U. HORNUNG, Interpolations by smooth functions under restrictions in the derivatives, J. Approx. Theory 28 (1980), 227–237.

    Article  MATH  MathSciNet  Google Scholar 

  42. C.T. KELLEY, E.W. SACHS, Mesh independence of the gradient projection method for optimal control problems, SIAM J. Control Optim. 30 (1992), 477–493.

    Article  MATH  MathSciNet  Google Scholar 

  43. A.A. LEVIKOV, Error estimate for solution of the linear optimal control problem, Avtomat. i Telemekh. 3 (Russian) (1982), 71–78.

    MathSciNet  Google Scholar 

  44. K.C.P. MACHIELSEN, Numerical solution of optimal control problems with state constraints by sequential quadratic programming in function space, (dissertation) Technische Hogeschool Eindhoven, Eindhoven, 1987.

    Google Scholar 

  45. K. MALANOWSKI, On convergence of finite-difference approximations to control and state constrained optimal control problems, Archiwum Aut. i Telem. 24 (1979), 319–337.

    MATH  MathSciNet  Google Scholar 

  46. K. MALANOWSKI, On convergence of finite-difference approximations to optimal control problems for systems with control appearing linearly, Archiwum Aut. i Telem. 24 (1979), 319–337.

    MATH  MathSciNet  Google Scholar 

  47. K. MALANOWSKI, Convergence of approximations vs. regularity of solutions for convex control-constrained optimal control problems, Appl. Math. Optim. 8 (1981), 69–95.

    Article  MathSciNet  Google Scholar 

  48. C.A. MLCHELLI, P.W. SMITH, J. SWETITS, J.D. WARD, Constrained L p approximation, Constr. Approx. 1 (1985), 93–102.

    Article  MathSciNet  Google Scholar 

  49. B. MORDUKHOVICH, On difference approximations of optimal control systems, Appl. Math. Mech. 42 (1978), 452–461.

    Article  MathSciNet  Google Scholar 

  50. B. MORDUKHOVICH, Discrete approximations and refined Euler-Lagrange conditions for nonconvex differential inclusions, IMA preprint Series 1115, March 1993. (also in) SIAM J. Control Optim. 33 (1995), 882–915.

    Google Scholar 

  51. E. POLAK, Computational Methods in Optimization: A Unified Approach, Academic Press, New York, 1971.

    Google Scholar 

  52. E. POLAK, An historical survey of computations methods in optimal control, SIAM Review 15 (1973), 548–553.

    Article  MathSciNet  Google Scholar 

  53. E. POLAK, On the use of consistent approximations in the solution of semi-infinite optimization and optimal control problems, Dept. of Electr. Eng. and Comp. Sc., University of California, Berkeley (preprint).

    Google Scholar 

  54. E. POLAK, LIMIN HE, Rate-preserving strategies for semi-infinite programming and optimal control, SIAM J. Control Optim. 30 (1992), 543–572.

    Google Scholar 

  55. E. POLAK, T.H. YANG, D.Q. MAYNE, A method of centers based on barrier functions for solving optimal control problems with continuous state and control constraints, SIAM J. Control Optim. 31 (1993), 159–179.

    Article  MATH  MathSciNet  Google Scholar 

  56. G.W. REDDIEN, Collocation at gauss points as a discretization in optimal control, SIAM J. Control Optim. 17 (1979), 298–316.

    Article  MATH  MathSciNet  Google Scholar 

  57. BL. SENDOV, V.A. POPOV, The Averaged Moduli of Smoothness, J. Wiley & Sons, New York 1988.

    MATH  Google Scholar 

  58. K.L. TEO, C.J. GOH, K.H. WANG, A Unified Computational Approach to Optimal Control Problems, Longman Sci. Tech., Harlow, 1991.

    MATH  Google Scholar 

  59. F.P. VASIL’EV, Methods for Solving Extremum Problems, Nauka, Moscow (Russian) 1981.

    Google Scholar 

  60. V.V. VASIN, Discrete approximation and stability in extremal problems, Zh. Vy-chisl. Mat. i Mat. Fiz. 22 (1982), 824–839.

    MATH  MathSciNet  Google Scholar 

  61. V.M. VELIOV, Second order discrete approximations to strongly convex differential inclusions, Systems & Control Letters, 13 (1989), 263–269.

    Article  MATH  MathSciNet  Google Scholar 

  62. V.M. VELIOV, Second order discrete approximations to linear differential inclusions, SIAM J. Numer. Anal. 29 (1992), 439–451.

    Article  MATH  MathSciNet  Google Scholar 

  63. V.M. VELIOV, Best approximations of control/uncertain differential systems by means of discrete-time systems, IIASA WP-91–45, November 1991.

    Google Scholar 

  64. J. WARGA, Relaxed variational problems, J. Math. Anal. Appl. 4 (1962), 111–145.

    Article  MATH  MathSciNet  Google Scholar 

  65. R.A. WIJSMAN, Convergence of sequences of convex sets, cones and functions, Bull. Amer. Math. Soc. 70 (1964), 186–188.

    Article  MATH  MathSciNet  Google Scholar 

  66. P.R. WOLENSKI, The exponential formula for the reachable set of aLipschitz differential inclusion, SIAM J. Control Optim. 28 (1990), 1148–1161.

    Article  MATH  MathSciNet  Google Scholar 

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© 1996 Springer-Verlag New York, Inc.

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Dontchev, A.L. (1996). Discrete Approximations in Optimal Control. In: Mordukhovich, B.S., Sussmann, H.J. (eds) Nonsmooth Analysis and Geometric Methods in Deterministic Optimal Control. The IMA Volumes in Mathematics and its Applications, vol 78. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8489-2_3

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  • DOI: https://doi.org/10.1007/978-1-4613-8489-2_3

  • Publisher Name: Springer, New York, NY

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