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An SQP trust region method for solving the discrete-time linear quadratic control problem

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Języki publikacji
EN
Abstrakty
EN
In this paper, a sequential quadratic programming method combined with a trust region globalization strategy is analyzed and studied for solving a certain nonlinear constrained optimization problem with matrix variables. The optimization problem is derived from the infinite-horizon linear quadratic control problem for discrete-time systems when a complete set of state variables is not available. Moreover, a parametrization approach is introduced that does not require starting a feasible solution to initiate the proposed SQP trust region method. To demonstrate the effectiveness of the method, some numerical results are presented in detail.
Rocznik
Strony
353--363
Opis fizyczny
Bibliogr. 18 poz., tab.
Twórcy
  • Department of Mathematics, Faculty of Science, Alexandria University, Moharam Bey, 21511, Alexandria, Egypt, emostafa@alex-sci.edu.eg
Bibliografia
  • [1] Conn, A. R., Gould, N. I. M. and Toint, Ph. L. (2000). Trust-Region Methods, SIAM, Philadelphia, PA.
  • [2] Garcia, G., Pradin, B. and Zeng, F. (2001). Stabilization of discrete-time linear systems by static output feedback, IEEE Transactions on Automatic Control 46(12): 1954-1958.
  • [3] Kočvara M., Leibfritz, F., Stingl, M. and Henrion, D. (2005). A nonlinear SDP algorithm for static output feedback problems in COMPlib, Proceedings of the 16th IFAC World Congress on Automatic Control, Prague, Czech Republic, (on CDROM).
  • [4] Lee, J.-W. and Khargonekar, P. P. (2007). Constrained infinite-horizon linear quadratic regulation of discrete-time systems, IEEE Transactions on Automatic Control 52(10): 1951-1958.
  • [5] Leibfritz, F. (2004). COMPlib: Constraint Matrix-optimization Problem library-A collection of test examples for nonlinear semi-definite programs, control system design and related problems, Technical report, http://www.complib.de/.
  • [6] Leibfritz, F. and Mostafa, E. M. E. (2002). An interior point constrained trust region method for a special class of nonlinear semidefinite programming problems, SIAM Journal on Optimization 12(4): 1048-1074.
  • [7] Leibfritz, F. and Mostafa, E. M. E. (2003). Trust region methods for solving the optimal output feedback design problem, International Journal of Control 76(5): 501-519.
  • [8] Mäkilä, P. M. and Toivonen, H. T. (1987). Computational methods for parametric LQ problems-A survey, IEEE Transactions on Automatic Control 32(8): 658-671.
  • [9] Mostafa, E. M. E. (2005a). A trust region method for solving the decentralized static output feedback design problem, Journal of Applied Mathematics & Computing 18(1-2): 1-23.
  • [10] Mostafa, E. M. E. (2005b). An augmented Lagrangian SQP method for solving some special class of nonlinear semidefinite programming problems, Computational and Applied Mathematics 24(3): 461-486.
  • [11] Mostafa, E. M. E. (2008). Computational design of optimal discrete-time output feedback controllers, Journal of the Operations Research Society of Japan 51(1): 15-28.
  • [12] Mostafa, E. M. E. (2012). A conjugate gradient method for discrete-time output feedback control design, Journal of Computational Mathematics 30(3): 279-297.
  • [13] Nocedal J. and Wright, S. J. (1999). Numerical Optimization, Springer, New York, NY.
  • [14] Peres, P. L. D. and Geromel, J. C. (1993). H2 control for discrete-time systems optimality and robustness, Automatica 29(1): 225-228.
  • [15] Sulikowski, B., Gałkowski, K., Rogers, E. and Owens, D. H. (2004). Output feedback control of discrete linear repetitive processes, Automatica 40(12): 2167-2173.
  • [16] Syrmos, V. L., Abdallah, C. T., Dorato, P. and Grigoriadis, K. (1997). Static output feedback-A survey, Automatica 33(2): 125-137.
  • [17] Varga, A. and Pieters, S. (1998). Gradient-based approach to solve optimal periodic output feedback control problems, Automatica 34(4): 477-481.
  • [18] Zhai, G., Matsumoto, Y., Chen, X., Imae, J. and Kobayashi, T. (2005). Hybrid stabilization of discrete-time LTI systems with two quantized signals, International Journal of Applied Mathematics and Computer Science 15(4): 509-516.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ7-0001-0026
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