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Nonlinearly constrained optimal control problems involving piecewise smooth controls

Published online by Cambridge University Press:  17 February 2009

K. L. Teo
Affiliation:
Department of Mathematics, The University of Western Australia, Nedlands WA 6009.
K. K. Leong
Affiliation:
Department of Mathematics, The University of Western Australia, Nedlands WA 6009.
G. J. Goh
Affiliation:
Department of Mathematics, The University of Western Australia, Nedlands WA 6009.
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Abstract

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In this paper, we consider a class of optimal control problems involving inequality continuous-state constraints in which the control is piecewise smooth. The requirement for this type of control is more stringent than that for the control considered in standard optimal control problems in which the controls are usually taken as bounded measurable functions. In this paper, we shall show that this class of optimal control problems can easily be transformed into an equivalent class of combined optimal parameter selection and optimal control problems. We shall then use the control parametrisation technique to devise a computational algorithm for solving this equivalent dynamic optimisation problem. Furthermore, convergence analysis will be given to support this numerical approach. For illustration, two nontrivial optimal control problems involving transferring cargo via a container crane will be solved using the proposed approach.

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 1990

References

[1]Cesari, L., Optimization-theory and applications. (Springer-Verlag, New York, New York, 1983).CrossRefGoogle Scholar
[2]Goh, C. J. and Teo, K. L., “Control parametrization: A unified approach to optimal control problems with general constraints”, Automatica 24 (1988) 318.CrossRefGoogle Scholar
[3]Goh, C. J. and Teo, K. L., “MISER: A FORTRAN program for solving optimal control problems”, Adv. Eng. Software 10 (1988) 9099.CrossRefGoogle Scholar
[4]Gonzalez, S. and Miele, A., “Sequential gradient-restoration algorithm for optimal control problems with general boundary conditions”, J. Opt. Theory Appl. 26 (1978) 395425.CrossRefGoogle Scholar
[5]Jennings, L. S. and Teo, K. L., “A computational algorithm for functional inequality constrained optimization problems”, Automatica (to appear).Google Scholar
[6]Miele, A., “Recent advances in gradient algorithms for optimal control problems”, J. Opt. Theory Appl. 17 (1975) 361430.CrossRefGoogle Scholar
[7]Miele, A., Damoulakis, J. N., Cloutier, J. R. and Tietze, J. L., “Sequential gradient-restoration algorithm for optimal control problems with nondifferential constraints”, J. Opt. Theory Appl. 13 (1974) 218255.CrossRefGoogle Scholar
[8]Miele, A., Pritchard, R. E. and Damoulakis, J. N., “Sequential gradient-restoration algorithm for optimal control problems”, J. Opt. Theory Appl. 5 (1970) 235282.CrossRefGoogle Scholar
[9]Miele, A. and Wang, T., “Primal-dual properties of sequential gradient-restoration algorithms for optimal control problems, Part 1, basic problem”, in Integral Methods in Science and Engineering, (Eds. Payne, F. R.), (Hemisphere Publishing Corporation, Washington, D. C, 1986), 577607.Google Scholar
[10]Miele, A. and Wang, T., “Primal-dual properties of sequential gradient-restoration algorithms for optimal control problems, Part 2, general problem”, J. Math. Anal. Appl. 119 (1986) 2154.CrossRefGoogle Scholar
[11]Miele, A., Wang, T. and Basapur, V. K., “Primal and dual formulations of sequential gradient-restoration algorithms for trajectory optimization problems”, Acta Astronautica 13 (1986) 491505.CrossRefGoogle Scholar
[12]Sakawa, Y., “On local convergence of an algorithm for optimal control”, Numer. Fund. Anal. Optim. 3 (1981) 301319.CrossRefGoogle Scholar
[13]Sakawa, Y. and Shindo, Y., “On global convergence of an algorithm for optimal control”, IEEE Trans. Automatic Control AC-25 (1980) 11491153.CrossRefGoogle Scholar
[14]Sakawa, Y. and Shindo, Y., “Optimal control of container cranes”, Automatica 18 (1982) 257266.CrossRefGoogle Scholar
[15]Schittkowski, K., “NLPQL: A FORTRAN subroutine for solving constrained nonlinear programming problems”, Oper. Res. Ann. 5 (1985) 485500.CrossRefGoogle Scholar
[16]Teo, K. L. and Goh, C. J., “A computational method for combined optimal parameter selection and optimal control problems with general constraints”, J. Austral. Math. Soc. Ser. B 30 (1989) 350364.CrossRefGoogle Scholar
[17]Teo, K. L. and Jennings, L. S., “Nonlinear optimal control problems with continuous state inequality constraints”, J. Opt. Theory Appl. 63 (1989) 122.CrossRefGoogle Scholar
[18]Teo, K. L., Wong, K. H. and Clements, D. J., “Optimal control computation for linear time-lag systems with linear terminal constraints”, J. Opt. Theory Appl. 44 (1984) 509526.CrossRefGoogle Scholar
[19]Wong, K. H., Clements, D. J., and Teo, K. L., “Optimal control computation for nonlinear time-lag systems”, J. Opt. Theory Appl. 47 (1986) 91107.CrossRefGoogle Scholar