Abstract
This paper considers the problem of finding matrix-valued rational functions that satisfy two-sided residue interpolation conditions subject to norm constraints on their components. It is shown that this problem can be reduced to a finite-dimensional convex optimization problem. As an application, we show that under suitable assumptions on the plant, multiple objective ℋ2 and ℋ∞ control problems admit finite-dimensional optimal solutions and that such solutions can be computed using finite-dimensional convex programs.
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D. Alpay and V. Bolotnikov. Two sided interpolation for matrix functions with entries in the Hardy space.Linear Algebra and its Applications, Vol. 223/224, pp. 31–56, 1995.
J. A. Ball, I. Gohberg, and L. Rodman.Interpolation of Rational Matrix Functions. Operator Theory: Advances and Applications, Vol. OT-45. Birkhäuser-Verlag, Boston, 1990.
J. A. Ball and M. Rakowski.Interpolation of Rational Matrix Functions and Stability of Feedback Systems: the 4-Block case. Operator Theory: Advances and Applications, Vol. OT-59. Birkhäuser-Verlag, Boston, 1992.
S. P. Boyd and C. H. Barratt.Linear Controller Design: Limits of Performance. Prentice-Hall, Englewood Cliffs, NJ, 1991.
M. A. Dahleh and I. J. Diaz-Bobillo.Control of Uncertain Systems. Prentice-Hall, Englewood Cliffs, NJ, 1995.
C. Foias, A. E. Frazho, and W. S. Li. On ℋ2 minimization for the Carathéodory-Schur interpolation problem.Integral Equations and Operator Theory, Vol. 21, pp. 24–32, 1995.
B. Francis.A Course in ℋ ∞ Control Theory. Lecture Notes in Control and Information Sciences, Vol. 88. Springer-Verlag, New York, 1987.
P. P. Khargonekar and M. A. Rotea. Multiple objective optimal control of linear systems: The quadratic norm case.IEEE Transactions of Automatic Control, Vol. 36, No. 1, pp. 14–24, 1991.
P. P. Khargonekar, M. A. Rotea, and N. Shivshankar. Exact and approximate solutions to a class of multiobjective controller synthesis problems.Proceedings of the American Control Conference, pp. 1602–1606, 1993.
A. Megretski. On the order of optimal controllers in the mixed ℋ2/ℋ∞ control.Proceedings of the 33rd Conference on Decision and Control, pp. 3173–3174, 1994.
Y. Ohta, N. Adachi and H. Kimura. Interpolation point augmentation method for multiblock model matching problems.Proceedings of the 33rd Conference on Decision and Control, pp. 3137–3142, 1994.
M. A. Rotea. The generalized ℋ2 control problem.Automatica, Vol. 29, No. 2, pp. 373–385, 1993.
M. A. Rotea and P. P. Khargonekar. ℋ2 optimal control with a ℋ∞ constraint: the state feedback case.Automatica, Vol. 27, No. 2, pp. 307–316, 1991.
M. A. Rotea and R. K. Prasanth. An interpolation approach to multiobjective ℋ∞ design.International Journal of Control, Vol. 65, No.4, pp. 699–720, 1996.
H. Rotstein and M. Sznaier. An exact solution to general 4-block discrete time mixed ℋ2/ℋ∞ problems via convex optimization. Preprint, 1995.
C. Scherer. Multiobjective ℋ2/ℋ∞ control.IEEE Transactions on Automatic Control, Vol. 40, No. 6, pp. 1054–1062, 1995.
M. Sznaier. An exact solution to general SISO mixed ℋ∞/ℋ2 problems via convex optimization.IEEE Transactions on Automatic Control, Vol. 39, No. 12, pp. 2511–2517, 1994.
H. T. Toivonen and P. M. Makila. Computer-aided design procedure for multiobjective LQG control problems.International Journal of Control, Vol. 49, No. 2, pp. 655–666, 1989.
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This research was supported in part by the National Science Foundation under YIA Grant No. ECS-93-58288 and in part by Boeing and United Technologies Research Center.
On leave from School of Aeronautics and Astronautics, Purdue University, West Lafayette, Indiana, U.S.A.
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Prasanth, R.K., Rotea, M.A. Interpolation with multiple norm constraints. Math. Control Signal Systems 10, 165–187 (1997). https://doi.org/10.1007/BF01213384
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DOI: https://doi.org/10.1007/BF01213384