Journal article
A Matrix Approach to Low-Order Uncertainty Modeling of Real Parameters
IFAC Proceedings Volumes, v 29(1), pp 3168-3173
Jun 1996
Abstract
Robust control system analysis and design is based on an uncertainty description which separates the uncertain system from the nominal system. Low-order models of this structure are difficult to formulate for many practical problems involving uncertainty in the physical parameters of the system. This paper presents a matrix-based method of directly constructing a low-order uncertainty model for real parameter problems involving multivariate rational functions of the uncertain parameters.
Metrics
7 Record Views
Details
- Title
- A Matrix Approach to Low-Order Uncertainty Modeling of Real Parameters
- Creators
- Christine M. Belcastro - Langley Research CenterB.-C. Chang - Drexel UniversityRobert Fischl - Drexel University
- Publication Details
- IFAC Proceedings Volumes, v 29(1), pp 3168-3173
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Other Identifier
- 991019205548804721