Simultaneous Identification of Multiple LTI Plants Using Multiple Models, Switching and Tuning

Author

George, Koshy ; Harshangi, Prashanth ; Bhat, Jayesh Sudhir

Author_Institution

P.E.S. Centre for Intell. Syst., P.E.S. Inst. of Technol., Bangalore, India

fYear

2010

fDate

24-26 March 2010

Firstpage

68

Lastpage

73

Abstract

The multiple models, switching, and tuning methodology is used in this paper to identify simultaneously multiple linear time-invariant (LTI) plants. Two model assignment strategies are also presented. These strategies cause the models to organize themselves so that at any given instant only one model adapts to each plant. The choice of the assignment strategy and the performance criteria play an important role in the manner of both the convergence and the switching between models.

Keywords

MIMO systems; linear systems; time-varying systems; MIMO; multiple LTI Plant; multiple linear time-invariant plant; simultaneous identification; switching methodology; tuning methodology; Adaptive control; Autoregressive processes; Computational modeling; Computer simulation; Convergence; Intelligent systems; Mathematical model; Telecommunication computing; Telecommunication switching; Transfer functions; LTI plants; Simultaneous identication; adaptation; multiple models; switching and tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Modelling and Simulation (UKSim), 2010 12th International Conference on

Conference_Location

Cambridge

Print_ISBN

978-1-4244-6614-6

Type

conf

DOI

10.1109/UKSIM.2010.21

Filename

5481079