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Stochastic Estimation And Control

Stochastic Estimation And Control Coupon

Description

The main themes of this course are estimation and management of dynamic programs. Preliminary matters start with evaluations of likelihood and random variables. Subsequent, classical and state-space descriptions of random processes and their propagation by linear programs are launched, adopted by frequency area design of filters and compensators. From there, the Kalman filter is employed to estimate the states of dynamic programs. Concluding matters embrace circumstances for stability of the filter equations.


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