Tytuł artykułu
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
In the paper, simplified models of signals are introduced. The set of signals belonging to the class considered is divided into abstract subsets. Every subset of signals has a representative signal of a very simple form. These representative signals are next used as simplified models of signals and they can be applied to very complicated considerations in systems theory and control theory. For example, they are applied to designing high precision, state feedback control systems. In consequence, such systems approximate (for large gain in feedback loop) the inverse operation to the plant P considered. For solving this problem, the sum of differences of state variables of system and state of control signal are taken into consideration. Based on the simplified models of signals the linear combination of the state variables of system and state of control signal (not only sum of difference) can be used. This is important if the gain in the feedback tends to infinity. A scheme of such systems is presented in the paper.
Czasopismo
Rocznik
Tom
Strony
47--55
Opis fizyczny
Bibliogr. 13 poz., wykr.
Twórcy
autor
autor
autor
- Maritime University of Szczecin, ul. Wały Chrobrego 1-2, 70-500 Szczecin, Poland, alozowicki@gmail.com
Bibliografia
- [1] Antoulas A.C., Approximation of large-scale dynamical systems, Advances in Design and Control DC-06, SIAM, Philadelphia, 2005.
- [2] Benner P., Mehrmann V., Sorensen D., Dimension reduction of large-scale systems, volume 45 of Lecture Notes in Computational Science and Engineering, Springer-Verlag, Berlin/Heidelberg, 2005.
- [3] Bubnicki Z., Application of uncertain variables in a class of control systems with uncertain and random parameters, European Control Conference, Cambridge, 2003.
- [4] Gasparyn O.N., Vardanyan N.H., On behaviour of root loci of uniform multivariable feedback control systems, Modeling, Optimisation, Control, Yerevan, Armenia, 1(8), 2007.
- [5] Gugercin S., Beattie C., Antoulas A.C., Rational Krylov Methods for Optimal H2 Model Reduction, ICAM Technical Report, Virginia Tech., 2006.
- [6] Keviczky L, Banyasz Cs., On the H2, L2 and H∞, L∞ optimally of some two-degree of freedom control systems, Proceedings of the 16th International Conference on Systems Science, Wrocław, 2007.
- [7] Kudrewicz J., Częstotliwościowe metody w teorii nieliniowych układów dynamicznych, WNT, Warszawa, 1970, (in Polish).
- [8] Łozowicki A., Robust controller design for a non-linear benchmark problem, European Journal of Control, No. 5,1999.
- [9] Łozowicki A., High precision state feedback robust control system for ship track-keeping, Pomiary Automatyka Kontrola, z. 1, Warszawa, 2004.
- [10] Łozowicki A., Łozowicka-Stupnicka T., Łozowicka D., On the design of a high precision state feedback robust control systems, Proceedings of the XVI International Conference on Systems Science, Wrocław, Vol. 1, 2007, p. 211.
- [11] Maurin K., Analiza, Część I, Elementy, PWN, Warszawa, 1991, (in Polish).
- [12] Naik M.S., Singh S.N., State-dependent Ricatti equation-based robust drive plane control of AUV with control constraints, Ocean Engineering, 2007.
- [13] Pakshin P.V., Retinsky D.M., Robust stabilization of random-structure systems via switchable static output feedback, Automation and Remote Control, Vol. 66, 2005.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0042-0025