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Combining Symbolic Tools with Interval Analysis: An Application to Solve Robust Control Problems

Complex systems are often subjected to uncertainties that make its model difficult, if not impossible to obtain. A quantitative model may be inadequate to represent the behavior of systems which require an explicit representation of imprecision and uncertainty. Assuming that the uncertainties are structured, these models can be handled with interval models in which the values of the parameters are allowed to vary within numeric intervals. Robust control uses such mathematical models to explicitly have uncertainty into account. Solving robust control problems, like finding the robust stability or designing a robust controller, involves hard symbolic and numeric computation. When interval models are used, it also involves interval computation. The main advantage using interval analysis is that it provides guaranteed solutions, but as drawback its use requires the interaction with multiple kinds of data. We present a methodology and a framework that combines symbolic and numeric computation with interval analysis to solve robust control problems

American Journal of Computational Mathematics, 2014, vol. 4, núm. 3, p.183-196

Scientific Research Publishing

Autor: Ferrer Mallorquí, Inès
Vehí, Josep
Data: juny 2014
Resum: Complex systems are often subjected to uncertainties that make its model difficult, if not impossible to obtain. A quantitative model may be inadequate to represent the behavior of systems which require an explicit representation of imprecision and uncertainty. Assuming that the uncertainties are structured, these models can be handled with interval models in which the values of the parameters are allowed to vary within numeric intervals. Robust control uses such mathematical models to explicitly have uncertainty into account. Solving robust control problems, like finding the robust stability or designing a robust controller, involves hard symbolic and numeric computation. When interval models are used, it also involves interval computation. The main advantage using interval analysis is that it provides guaranteed solutions, but as drawback its use requires the interaction with multiple kinds of data. We present a methodology and a framework that combines symbolic and numeric computation with interval analysis to solve robust control problems
Format: application/pdf
ISSN: 2161-1203 (versió paper)
2161-1211 (versió electrònica)
Accés al document: http://hdl.handle.net/10256/12662
Llenguatge: eng
Editor: Scientific Research Publishing
Col·lecció: Reproducció digital del document publicat a: http://dx.doi.org/10.4236/ajcm.2014.43015
Articles publicats (D-IMA)
És part de: American Journal of Computational Mathematics, 2014, vol. 4, núm. 3, p.183-196
Drets: Attribution 3.0 Spain
URI Drets: http://creativecommons.org/licenses/by/3.0/es/
Matèria: Anàlisi d’intervals (Matemàtica)
Interval analysis (Mathematics)
Control de robustesa
Robust control
Títol: Combining Symbolic Tools with Interval Analysis: An Application to Solve Robust Control Problems
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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