Stabilization of uncertain linear systems: an LFT approach
- Creators
- Lu, Wei-Min
- Zhou, Kemin
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Doyle, John C.
Abstract
This paper develops machinery for control of uncertain linear systems described in terms of linear fractional transformations (LFTs) on transform variables and uncertainty blocks with primary focus on stabilization and controller parameterization. This machinery directly generalizes familiar state-space techniques. The notation of Q-stability is defined as a natural type of robust stability, and output feedback stabilizability is characterized in terms of Q-stabilizability and Q-detectability which in turn are related to full information and full control problems. Computation is in terms of convex linear matrix inequalities (LMIs), the controllers have a separation structure, and the parameterization of all stabilizing controllers is characterized as an LFT on a stable, free parameter.
Additional Information
© 1996 IEEE. Reprinted with permission. Manuscript received August 6, 1993; revised March 25, 1994 and June 28, 1995. Recommended by Associate Editor, A. Vicino. This work was supported in part by the NSF, AFOSR, and ONR. The authors would like to thank Prof. A. Packard at the University of California at Berkeley for helpful discussion. They also gratefully acknowledge helpful comments on the previous versions of this paper from C. Beck, B. Bodenheimer, Y. Huang, J. Morris, F. Paganini, and J. Tierno, as well as the anonymous reviewers.Attached Files
Published - LUWieeetac96.pdf
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Additional details
- Eprint ID
- 2388
- Resolver ID
- CaltechAUTHORS:LUWieeetac96
- NSF
- Air Force Office of Scientific Research (AFOSR)
- Office of Naval Research (ONR)
- Created
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2006-04-02Created from EPrint's datestamp field
- Updated
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2021-11-08Created from EPrint's last_modified field