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Conference proceeding
LFT formulation for multivariate polynomial problems
Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), v 2, pp 1002-1007 vol.2
1998
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Abstract
Robust control system analysis and design is based on an uncertainty description, called a linear fractional transformation (LFT), which separates the uncertain (or varying) part of the system from the nominal system. Low-order LFT models are difficult to form for nonlinear parameter-dependent systems. The paper presents a numerical computational method that can be used to construct low-order LFT models for multivariate polynomial and rational problems based on simple matrix computations. This LFT modeling method makes current robust and linear parameter varying (LPV) control analysis and design methods accessible to a broad class of difficult practical problems.
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Details
- Title
- LFT formulation for multivariate polynomial problems
- Creators
- C.M Belcastro - Langley Research CenterB.-C ChangAMER AUTOMAT CONTROL COUNCIL
- Publication Details
- Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), v 2, pp 1002-1007 vol.2
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000075568200213
- Scopus ID
- 2-s2.0-84881341193
- Other Identifier
- 991019205212804721
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- Web of Science research areas
- Automation & Control Systems
- Computer Science, Interdisciplinary Applications