Abstract: In this game, a measurement record is given and the first player looks for the best estimate of a prespecified combination of the system states in ...
Game Theory Approach to Finite-Time Horizon. Optimal Estimation. I. Yaesh and U. Shaked mal filtering within the framework of differential games [lo],. [ 131 ...
In this game, a measurement record is given and the first player looks for the best estimate of a prespecified combination of the system states in the ...
Isaac Yaesh, Uri Shaked: Game theory approach to finite-time horizon optimal estimation. IEEE Trans. Autom. Control. 38(6): 957-963 (1993).
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Game Theory Approach to Finite-Time Horizon Optimal Estimation. I. Yaesh, U. Shaked · School of Electrical Engineering. Tel Aviv University. Research output ...
A game theory approach to optimal state estimation is presented and it is found that under certain conditions a min-max estimation is identical to the ...
Apr 13, 2024 · A novel formation control method for the TSNR is proposed through the integration of differential game theory and robust adaptive control in this paper.
[PDF] A Linear-Quadratic Game Approach to Estimation and Smoothing
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The optimal smoother, for a finite time interval, is now derived. The ... Rhee and J. L. Speyer, "A Game Theoretic Approach to a Finite Time. Interval ...
Aug 25, 2024 · ∆p and ∆e are the planning horizon and estimation epoch respectively. and u⋆ h,ˆθ is the optimal control of the DG with the currently.
... Optimal and. Robust Estimation. With an Introduction to. Stochastic Control Theory. SECOND EDITION. Page 6 ... time. Stochastic control theory uses information ...