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Mixed H 2/H filtering by the theory of nash games

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Robust Control

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 183))

Abstract

The aim of this paper is to study an H 2/H terminal state estimation problem using the classical theory of Nash equilibria. The H 2/H nature of the problem comes from the fact that we seek an estimator which satisfies two Nash inequalities. The first reflects an H filtering requirement in the sense alluded to in [4], while the second inequality demands that the estimator be optimal in the sense of minimising the variance of the terminal state estimation error. The problem solution exploits a duality with the H 2/H control problem studied in [2, 3]. By exploiting duality in this way, one may quickly extablish that an estimator exists which staisfies the two Nash inequalities if and only if a certain pair of cross coupled Riccati equations has a solution on some optimisation interval. We conclude the paper by showing that the Kalman filtering, H filtering and H 2/H filtering problems may all be captured within a unifying Nash game theoretic framework.

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References

  1. T. Basar and G. J. Olsder, “Dynamic noncooperative game theory,” Academic Press, New York, 1982

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  2. D. J. N. Limebeer, B. D. O. Anderson and B. Hendel, “A Nash game approach to mixed H 2/H control,” submitted for publication

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  3. D. J. N. Limebeer, B. D. O. Anderson and B. Hendel, “Nash games and mixed H 2/H control,” preprint

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  4. D. J. N. Limebeer and U. Shaked, “Minimax terminal state estimation and H filtering,” submitted to IEEE Trans. Auto. Control

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  5. A. W. Starr and Y. C. Ho, “Nonzero-sum differential games,” J. Optimization Theory and Applications, Vol. 3, No. 3, pp 184–206, 1967

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L. D. Davisson A. G. J. MacFarlane H. Kwakernaak J. L. Massey Ya Z. Tsypkin A. J. Viterbi Shigeyuki Hosoe

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© 1992 Springer-Verlag

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Limebeer, D.J.N., Anderson, B.D.O., Hendel, B. (1992). Mixed H 2/H filtering by the theory of nash games. In: Davisson, L.D., et al. Robust Control. Lecture Notes in Control and Information Sciences, vol 183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0114643

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  • DOI: https://doi.org/10.1007/BFb0114643

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55961-0

  • Online ISBN: 978-3-540-47320-6

  • eBook Packages: Springer Book Archive

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