Referenced Items are not available for this document.
In the present work we consider a multidimensional linear system with additive inputs (controls) and noise governed by a Brownian motion. We allow the parameters of the system to change in time. In addition we assume that the exact form of the coefficients is not known, rather the intervals within which these coefficients fluctuate are given. In addition, we do not know the exact state of the system, rather we observe the output process correlated with this state. The set of allowable controls are feedback controls based on the observation of the output process and “an ideal model dynamics”. With each control we associate a performance functional characterizing “the quality of tracking process” and the objective is to construct a robust feedback control which minimizes the maximal performance functional within the class of systems with nonstochastic coefficients fluctuating in the same intervals as those of our problem
Published in:
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
(Volume:3
)
Date of Conference: 13-15 Dec 1995
- Page(s):
- 2179 - 2184 vol.3
- Meeting Date :
- 13 Dec 1995-15 Dec 1995
- ISSN :
- 0191-2216
- Print ISBN:
- 0-7803-2685-7
- INSPEC Accession Number:
- 5183561
- Conference Location :
- New Orleans, LA
- Digital Object Identifier :
- 10.1109/CDC.1995.480525
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
