A joint structured complex uncertainty identification and μ-synthesis algorithm

Gábor Rödönyi, J. Bokor

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

2 Citations (Scopus)

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 frequencydomain 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 IEEE International Conference on Control Applications
Pages2927-2932
Number of pages6
DOIs
Publication statusPublished - 2006
Event2006 IEEE International Conference on Control Applications, CCA 2006 - Munich, Germany
Duration: Oct 4 2006Oct 6 2006

Other

Other2006 IEEE International Conference on Control Applications, CCA 2006
CountryGermany
CityMunich
Period10/4/0610/6/06

Fingerprint

Identification (control systems)
Experimental Data
Synthesis
Linear Fractional Transformation
Uncertainty
Uncertainty Modeling
Weighting Function
Robust Performance
Model Identification
Closed-loop Control
Model Uncertainty
Robust Control
Confidence
Frequency Domain
Linear Time
Control Problem
Disturbance
Integrate
Physics
Perturbation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Mathematics(all)

Cite this

Rödönyi, G., & Bokor, J. (2006). A joint structured complex uncertainty identification and μ-synthesis algorithm. In Proceedings of the IEEE International Conference on Control Applications (pp. 2927-2932). [4777103] https://doi.org/10.1109/CACSD-CCA-ISIC.2006.4777103

A joint structured complex uncertainty identification and μ-synthesis algorithm. / Rödönyi, Gábor; Bokor, J.

Proceedings of the IEEE International Conference on Control Applications. 2006. p. 2927-2932 4777103.

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

Rödönyi, G & Bokor, J 2006, A joint structured complex uncertainty identification and μ-synthesis algorithm. in Proceedings of the IEEE International Conference on Control Applications., 4777103, pp. 2927-2932, 2006 IEEE International Conference on Control Applications, CCA 2006, Munich, Germany, 10/4/06. https://doi.org/10.1109/CACSD-CCA-ISIC.2006.4777103
Rödönyi G, Bokor J. A joint structured complex uncertainty identification and μ-synthesis algorithm. In Proceedings of the IEEE International Conference on Control Applications. 2006. p. 2927-2932. 4777103 https://doi.org/10.1109/CACSD-CCA-ISIC.2006.4777103
Rödönyi, Gábor ; Bokor, J. / A joint structured complex uncertainty identification and μ-synthesis algorithm. Proceedings of the IEEE International Conference on Control Applications. 2006. pp. 2927-2932
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