Conference paper
Parametric uncertainty modeling for application to robust control
01 Dec 1993
Abstract
Viewgraphs and a paper on parametric uncertainty modeling for application to robust control are included. Advanced robust control system analysis and design is based on the availability of an uncertainty description which separates the uncertain system elements from the nominal system. Although this modeling structure is relatively straightforward to obtain for multiple unstructured uncertainties modeled throughout the system, it is difficult to formulate for many problems involving real parameter variations. Furthermore, it is difficult to ensure that the uncertainty model is formulated such that the dimension of the resulting model is minimal. A procedure for obtaining an uncertainty model for real uncertain parameter problems in which the uncertain parameters can be represented in a multilinear form is presented. Furthermore, the procedure is formulated such that the resulting uncertainty model is minimal (or near minimal) relative to a given state space realization of the system. The approach is demonstrated for a multivariable third-order example problem having four uncertain parameters.
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Details
- Title
- Parametric uncertainty modeling for application to robust control
- Creators
- Robert Fischl - Drexel UniversityChristine M. Belcastro - National Aeronautics and Space AdministrationBor-Chin Chang - Drexel University, Mechanical Engineering and Mechanics
- Conference
- NASA LaRC Workshop on Guidance, Navigation, Controls, and Dynamics for Atmospheric Flight
- Publisher
- National Aeronautics and Space Administration
- Resource Type
- Conference paper
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; Mechanical Engineering and Mechanics
- Identifiers
- 991022043493704721