Optimal worst case estimation for LPV-FIR models with bounded errors

Author

Belforte, Gustavob ; Gay, Paolo

Author_Institution

Dipartimento di Autom. e Inf., Politecnico di Torino, Italy

Volume

5

fYear

2000

fDate

2000

Firstpage

4573

Abstract

In this paper discrete time linear parameter varying (LPV) models with finite impulse response (FIR) dynamic structure are considered. Measurement errors are assumed to be bounded and in such condition the worst case parameter estimate errors are derived together with the input sequences that allow their determination. The main result of the paper shows that the optimal input design of LPV-FIR models is achieved by combining the available results on optimal input design for invariant FIR models with the results on optimal input design for static blocks

Keywords

discrete time systems; linear systems; optimisation; parameter estimation; transient response; FIR models; discrete time systems; finite impulse response; identification; linear systems; parameter estimation; parameter varying systems; worst case estimation; Computer aided software engineering; Equations; Finite impulse response filter; Integrated circuit modeling; Joining processes; Measurement errors; Parameter estimation; Production facilities; Time varying systems; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2000. Proceedings of the 39th IEEE Conference on

Conference_Location

Sydney, NSW

ISSN

0191-2216

Print_ISBN

0-7803-6638-7

Type

conf

DOI

10.1109/CDC.2001.914636

Filename

914636