A joint structured complex uncertainty identification and μ-synthesis algorithm

Gábor Rödönyi, József Bokor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A joint uncertainty model identification and μ-synthesis algorithm is presented for linear time-invariant (LTI) systems. The goal is 1) to construct an uncertainty model set characterized by parameterized weighting functions of dynamic perturbations in the general linear fractional transformation (LFT) form and additive disturbances - customary representation in modern robust control and 2) to select from this set according to closed-loop control objectives. The motivation is to avoid conservatism of physics-based uncertainty modelling yet giving confidence in the model. The algorithm works on sampled, bounded-energy experimental data on the frequency-domain and integrates model invalidation/construction and control synthesis in order to achieve robust performance. Standard D-K iteration steps are combined with an optimization step on a group of selected data. The efficiency and applicability of the method is demonstrated on a vehicle control problem with real experimental data.

Original languageEnglish
Title of host publicationProceedings of the 2006 IEEE International Conference on Control Applications
Pages2927-2932
Number of pages6
DOIs
Publication statusPublished - Dec 1 2007
EventJoint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC) - Munich, Germany
Duration: Oct 4 2006Oct 6 2006

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Other

OtherJoint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC)
CountryGermany
CityMunich
Period10/4/0610/6/06

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Rödönyi, G., & Bokor, J. (2007). A joint structured complex uncertainty identification and μ-synthesis algorithm. In Proceedings of the 2006 IEEE International Conference on Control Applications (pp. 2927-2932). [4067553] (Proceedings of the IEEE International Conference on Control Applications). https://doi.org/10.1109/CCA.2006.286074