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pro vyhledávání: '"Howard Kaufman"'
Autor:
Gregory W. Neat, Howard Kaufman
Publikováno v:
International Journal of Control. 58:1011-1031
This paper presents an asymptotic output tracking stability proof for a new modification to a direct model reference adaptive control procedure. This modification, which alleviates a very restrictive positive real constraint, greatly expands the clas
Publikováno v:
International Journal of Control. 55:945-967
This paper analyzes and extends an easily implemented direct model reference adaptive control procedure. The paper focuses on the major limitation of this control approach which is the satisfaction of a strictly positive real sufficiency condition in
Autor:
Howard Kaufman, A.M. Tekalp
Publikováno v:
IEEE Control Systems. 11:16-24
Blurred and noisy images can often be represented as nonstationary 2D stochastic processes that can be modeled by a set of linear space-varying state equations, or by an ARMA input-output equation with space-varying coefficients. Liner difference equ
Autor:
Howard Kaufman, S. Kotob
Publikováno v:
IEEE Transactions on Automatic Control. 22:807-815
An on-line minimum variance (MV) parameter identifier is developed which embodies both accuracy and computational efficiency. The formulation results in a linear estimation problem with both additive and multiplicative noise (AMN). The resulting filt
Publikováno v:
Signal Processing. 15:259-269
A new decision-directed filtering algorithm has been developed for model-based segmentation and space-variant restoration of blurred images. We assume that the space-variant blur can be represented by a collection of L distinct point spread functions
Autor:
Howard Kaufman, Itzhak Barkana
Publikováno v:
Journal of Guidance, Control, and Dynamics. 7:717-724
Direct multivariable model reference adaptive control (DMMRAC) applications are considered with a representative example of a large structural system (LSS). Such applications have in the past been shown to be feasible for multivariable systems provid
Publikováno v:
IEEE Transactions on Automatic Control. 28:745-756
Estimation of image pixel density can be performed using a reduced update Kalman filter provided that a mathematical model for the image generating process is available. To this effect various algorithms suitable for identifying the parameters of aut
Publikováno v:
Automatica. 20:205-209
The role of model reference adaptive control is under consideration for a computer based feedback system which will regulate the infusion rate of a drug (nitroprusside) in order to maintain desired blood pressure. Because the transfer function parame
Autor:
Suresh M. Joshi, Howard Kaufman
Publikováno v:
Automatica. 11:129-139
Design of a discrete optimal regulator requires the a priori knowledge of a mathematical model for the system of interest. Because a second-order model with transport lag is very amenable to control computations and because this type of model has bee
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