Warianty tytułu
Języki publikacji
Abstrakty
In this paper, a variance-constrained self-tuning control is considered for a plant given by discrete-time ARMAX model. A minimization of a quadratic cost function under constraint is approached by LQG and stochastic approximation (SA) methods, as well as by MUSMAR, a predictive adaptive controller based on multiple identifiers. The optimization algorithms obtained are simulated for unstable plant model and different structures of the controller.
Czasopismo
Rocznik
Tom
Strony
135-149
Opis fizyczny
Bibliogr. 7 poz.,
Twórcy
autor
- Poznan Univ. of Technology, Inst. of Contr./Info. Engineering, 60-965 Poznan, Poland
autor
- Poznan Univ. of Technology, Inst. of Contr./Info. Engineering, 60-965 Poznan, Poland
autor
- INESC-ID/IST, R. Alves Redol 9, Lisbona, Portugal, jlml@inesc-id.pt
Bibliografia
- [1] Toivonen H. T., Variance constrained self-tuning control, Aütomaúca, 19(4), 1983,415-418.
- [2] Makila p. M., Westerlund T., Toivonen H. T., Constrained linear quadratic Gaussian control with process applications, Automatica, 20(1), 1984, 15-29.
- [3] Królikowski A., Self-tuning control under variance and amplitude constraints, Prepr. 11th IFAC Symp. on Syst. Ident., SYSID'97, Kitakyushu, 8-11 July 1997, Vol. 1, 1997, 345-350.
- [4] Mosca E., Lemos J. M., Mendonca T., Nistri P., Adaptive predictive control with mean-square input constraint, Automatica, 28(3), 1992, 593-597.
- [5] Moden P. E., Soderstrom T., Stationary performance of linear stochastic systems under single step optimal control, IEEE Trans. Automat. Contr., 27(1), 1982, 214-216.
- [6] Kulhavy R., Restricted exponential forgetting in real-time identification, Automatica, 23(5), 1987, 589-600.
- [7] Mosca E., Optimal, Predictive, and Adaptive Control, Prentice Hall, 1995.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-article-BPW4-0002-0106