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pro vyhledávání: '"Howard Kaufman"'
Autor:
Izhak Bar-Kana, Howard Kaufman
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 2:133-143
This paper considers adaptive control of various systems with unknown time-varying or non-linear dynamics in an attempt to show that practical adaptive control can be simple and robust. The simplified adaptive control methodology used is based on the
Autor:
Denise L. Angwin, Howard Kaufman
Publikováno v:
Signal Processing. 16:21-28
The one-dimensional state-space representation of an image for restoration using a Kalman filter requires a relatively large state vector. For a typical autoregressive signal model with nonsymmetric half-plane support, the dimension of the state is a
Autor:
A.M. Tekalp, Howard Kaufman
Publikováno v:
IEEE Transactions on Acoustics, Speech, and Signal Processing. 36:1360-1363
An optimal statistical parameter estimation technique was previously presented by the authors (ibid., vol.ASSP-34, p.963-72) for the identification of a class of unknown linear systems that can be modeled by a zero-phase finite impulse response filte
Publikováno v:
1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.
In this paper an implicit model reference adaptive control algorithm for multi-input multi-output plants is developed. Asymptotic stability of the error between plant and model outputs is guaranteed even when the conditions for perfect model followin