Abstract
Parametric nonlinear optimal control problems subject to control and state constraints are studied. Based on recent stability results we propose a robust nonlinear programming method to compute the sensitivity derivatives of optimal solutions. Realtime control approximations of perturbed optimal solutions are obtained by evaluating a first order Taylor expansion of the perturbed solution. The numerical methods are illustrated by two examples. We consider the Rayleigh problem from electrical engineering and the maximum range flight of a hang glider.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Beltracchi, T. J.; Gabriele, G. A.: An investigation of using an RQP based method to calculate parameter sensitivity derivatives, in “Recent Advances in Multidisciplinary Analysis and Optimization”, NASA Conference Publication 3031, Part 2, Proceedings of a symposium held in Hampton, USA, September 28–30, 1988.
Beltracchi, T. J.; Nguyen, H. N.: Experience with post optimality parameter sensitivity analysis in FONSIZE, American Institute of Aeronautics and Astronautics, Report AIAA-92-4749-CP, pp. 496-506, 1992.
Betts, J. T.; Huffmann, W. P.: Path constrained trajectory optimization using sparse sequential quadratic programming, Applied Mathematics and Statistics Group, Boeing Computer Services, Seattle, USA, 1991.
Bock, H. G.; Krämer-Eis, P.: An efficient algorithm for approximate computation of feedback control laws in nonlinear processes, ZAMM, 61 (1981), T330–T332.
Büskens, C.: Direkte Optimierungsmethoden zur numerischen Berechnung optimaler Steuerungen, Diploma thesis, Institut für Numerische Mathematik, Universität Münster, Münster, Germany, 1993.
Dontchev, A. L.; Hager, W. W.: Lipschitz stability in nonlinear control and optimization, SIAM J. Control and Optimization, 31 (1993), pp. 569–603.
Dontchev, A. L.; Hager, W. W.; Poore, A. B.; and Yang, B.: Optimality, stability and convergence in nonlinear control, Applied Mathematics and Optimization, 31 (1995), pp. 297–326.
Evtushenko, Y. G.: Numerical Optimization Techniques, Translation Series in Mathematics and Engineering, Optimisation Software Inc., Publications Division, New York, 1985.
Fiacco, A. V.: Introduction to Sensitivity and Stability Analysis in Nonlinear Programming, Mathematics in Science and Engineering, Vol. 165, Academic Press, New York, 1983.
Hallmann, W.: Sensitivity analysis for trajectory optimization, 28th Aerospace Sciences Meeting, AIAA 90-0471, Reno, USA, January 8–11, 1990.
Hallmann, W.: Optimal scaling techniques for the nonlinear programming problem, 5th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Panama City Beach, USA, September 7–9, 1994.
Jacobson, D. H.; Mayne, D. Q.: Differential Dynamic Programming, American Elsevier Publishing Company Inc., New York 1970.
Krämer-Eis, P.: Ein Mehrzielverfahren zur numerischen Berechnung optimaler Feedback-Steuerung en bei beschränkten nichtlinearen Steuerungsproblemen, Bonner Mathematische Schriften, 164, 1985.
Malanowski, K.: Stability and sensitivity of solutions to nonlinear optimal control problems, Applied Mathematics and Optimization, 32 (1995), pp. 111–141.
Malanowski, K.; Maurer, H.: Sensitivity analysis for parametric control problems with control-state constraints, Computational Optimization and Applications, 5 (1996), pp. 253–283.
Malanowski, K.; Maurer, H.: Sensitivity analysis for state constrained control problems, Angewandte Mathematik und Informatik, Universität Münster, Preprint No. 21/96-N, 1996.
Maurer H.; Augustin, D.: Second order sufficient conditions and sensitivity analysis for the controlled Rayleigh problem, to appear in Proceedings of the 4th Conference on Parametric Optimization and Related Topics, Enschede, June 6–9, 1995.
Maurer, H.; Pesch, H. J.: Solution differentiability for parametric nonlinear control problems, SIAM Journal on Control and Optimization, 32 (1994), pp. 1542–1554.
Maurer, H.; Pesch, H. J.: Solution differentiability for parametric nonlinear control problems with control-state constraints, Control and Cybernetics, 23 (1994), pp. 201–227.
Nerz, E.: Optimale Steuerung eines Hängegleiters, Munich University of Technology, Department of Mathematics, Diploma Thesis, 1990.
Pesch, H. J.: Real-time computation of feedback controls for constrained optimal control problems, Part 1: Neighbouring extremals, Optimal Control Applications & Methods, 10 (1989), pp. 129–145.
Pesch, H.J.: Real-time computation of feedback controls for constrained optimal control problems, Part 2: A correction method based on multiple shooting, Optimal Control Applications & Methods, 10 (1989), pp. 147–171.
vonStryk, O.: Numerische Lösung optimaler Steuerungsprobleme: Diskretisierung, Parameteroptimierung und Berechnung der adjungierten Variablen. Fortschritt-Berichte VDI, Reihe 8, Nr. 441, VDI Verlag, Germany (1995).
Teo, K. L.; Goh C. J.; Wong, K. H.: A Unified Computational Approach to Optimal Control Problems, Longman Scientific and Technical, New York, 1991.
Tun T.; Dillon, T. S.: Extensions of the differential dynamic programming method to include systems with state dependent control constraints and state variable inequality constraints, Journal of Applied Science and Engineering A, 3, (1978), pp. 171–192.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Basel AG
About this paper
Cite this paper
Büskens, C., Maurer, H. (1998). Sensitivity Analysis and Real-Time Control of Nonlinear Optimal Control Systems via Nonlinear Programming Methods. In: Schmidt, W.H., Heier, K., Bittner, L., Bulirsch, R. (eds) Variational Calculus, Optimal Control and Applications. International Series of Numerical Mathematics, vol 124. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8802-8_19
Download citation
DOI: https://doi.org/10.1007/978-3-0348-8802-8_19
Publisher Name: Birkhäuser, Basel
Print ISBN: 978-3-0348-9780-8
Online ISBN: 978-3-0348-8802-8
eBook Packages: Springer Book Archive