stimation in Krein Spaces- art 11: Applications

We show that several interesting problems in Rw - filtering, quadratic game theory, and risk sensitive control and estimation follow as special cases of the Krein-space linear esti- mation theory developed in (l). We show that a11 these problems can be cast into the problem of calculating the stationary point of certain second-order forms, and that by considering the ap- propriate state space models and error Gramians, we can use the ~re~n-spa~e estimation theory to calculate the stationary points and study their properties. The approach discussed here allows for interesting generalizations, such as finite memory adaptive filtering with varying sliding patterns.

[1]  M. G. Mylroi Control Theory , 1969, Nature.

[2]  Rhodes,et al.  Optimal stochastic linear systems with exponential performance criteria and their relation to deterministic differential games , 1973 .

[3]  Henry C. Thacher,et al.  Applied and Computational Complex Analysis. , 1988 .

[4]  D. Jacobson,et al.  Optimization of stochastic linear systems with additive measurement and process noise using exponential performance criteria , 1974 .

[5]  B. Anderson,et al.  Optimal Filtering , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[6]  H. Kwakernaak A polynomial approach to minimax frequency domain optimization of multivariable feedback systems , 1986 .

[7]  B. Francis,et al.  A Course in H Control Theory , 1987 .

[8]  P. Khargonekar,et al.  State-space solutions to standard H2 and H∞ control problems , 1988, 1988 American Control Conference.

[9]  N. Young An Introduction to Hilbert Space , 1988 .

[10]  K. Glover,et al.  State-space formulae for all stabilizing controllers that satisfy and H ∞ norm bound and relations to risk sensitivity , 1988 .

[11]  Keith Glover,et al.  Derivation of the maximum entropy H ∞-controller and a state-space formula for its entropy , 1989 .

[12]  P. Whittle Risk-Sensitive Optimal Control , 1990 .

[13]  M. Zwaan An introduction to hilbert space , 1990 .

[14]  Tamer Bąar Optimum performance levels for minimax filters, predictors and smoothers , 1991 .

[15]  Amrane Houacine Regularized fast recursive least squares algorithms for finite memory filtering , 1992, IEEE Trans. Signal Process..

[16]  J. Speyer,et al.  Optimal stochastic estimation with exponential cost criteria , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

[17]  U. Shaked,et al.  H,-OPTIMAL ESTIMATION: A TUTORIAL , 1992 .

[18]  Michael J. Grimble,et al.  Polynomial Matrix Solution of the H/Infinity/ Filtering Problem and the Relationship to Riccati Equation State-Space Results , 1993, IEEE Trans. Signal Process..

[19]  T. Kailath,et al.  A state-space approach to adaptive RLS filtering , 1994, IEEE Signal Processing Magazine.

[20]  David J. N. Limebeer,et al.  Linear Robust Control , 1994 .

[21]  Ali H. Sayed,et al.  Linear Estimation in Krein Spaces - Part I: Theory , 1996 .

[22]  T. Kailath,et al.  Linear estimation in Krein spaces. I. Theory , 1996, IEEE Trans. Autom. Control..

[23]  T. Basar,et al.  H∞-0ptimal Control and Related Minimax Design Problems: A Dynamic Game Approach , 1996, IEEE Trans. Autom. Control..