Richard L. Moose

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A method of nonlinear stochastic control is applied to the problem of providing set-point control. The procedure is illustrated for a nonlinear second-order plant. The controller design uses a variation of the "multiple-model adaptive control" approach. Specific problems related to the design are investigated, including learning time and set-point accuracy(More)
The ability of the adaptive filtering system to converge to an unbiased estimate cf those target parameters of interest such as range and depth is examined. Passive target measurements make use of difference in signal arrival time between geometrically separated sensor systems such as those described in Knapp and Carter (1976), Hassab and Boucher (1976),(More)
A maneuvering target tracking algorithm is presented, which combines the correlated acceleration target model of Singer and the adaptive semi-Markov tracking system of Moose and Gholson. Preliminary testing on radar data indicates both improved tracking and filter stability as targets undergo rapid random accelerations in elevation and radial velocity.
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