DocumentCode :
2065121
Title :
Robust controller design by quadratic programming
Author :
Nurges, Ülo ; Rüstern, Ennu
Author_Institution :
Inst. of Cybern., Tallinn Tech. Univ., Estonia
fYear :
2001
fDate :
2001
Firstpage :
1060
Lastpage :
1064
Abstract :
The procedure of robust controller design by quadratic programming makes use of a stability measure defined as the minimal distance between a preselected stable simplex and vertices of an uncertain system characteristic polynomial. A constructive procedure for generating stable simplex in polynomial coefficient space is given starting from the unit hypercube of reflection coefficients of monic polynomials. This procedure is quite straightforward: an appropriate stable point has to be chosen and then the edges of the stable simplex are generated by reflection vectors of this polynomials
Keywords :
polynomials; quadratic programming; robust control; stability; monic polynomials; polynomial coefficient space; preselected stable simplex; quadratic programming; robust controller design; stability measure; uncertain system characteristic polynomial; unit hypercube; Control systems; Optimal control; Polynomials; Quadratic programming; Reflection; Robust control; Robust stability; Robustness; Transfer functions; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on
Conference_Location :
Mexico City
Print_ISBN :
0-7803-6733-2
Type :
conf
DOI :
10.1109/CCA.2001.974011
Filename :
974011
Link To Document :
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