A stochastic embedding approach for quantifying uncertainty in the estimation of restricted complexity models-Reference-Cited by-同舟云学术

A stochastic embedding approach for quantifying uncertainty in the estimation of restricted complexity models

Published:1989-12 Issue:4 Volume:3 Page:333-356
ISSN:0890-6327
Container-title:International Journal of Adaptive Control and Signal Processing
language:en
Short-container-title:Int. J. Adapt. Control Signal Process.

Author:

Goodwin Graham C.,Salgado Mario E.

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Reference27 articles.

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2. From time series to linear system—Part I. Finite dimensional linear time invariant systems

3. From time series to linear system—Part III

4. System Identification, Theory for the User, Prentice-Hall, Englewood Cliffs, NJ, 1987.

5. , and , ‘Robustness of adaptive control algorithms in the presence of unmodelled dynamics’, Proc. 21st IEEE Conf. on Decision and Control, Orlando, Florida, 1982, pp. 3–11.

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