Control oriented system identification for MIMO continuous and discrete-time systems

Author

Coutlis, A. ; Limebeer, D.J.N.

Author_Institution

Centre for Process Syst. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK

Volume

2

fYear

1996

fDate

11-13 Dec 1996

Firstpage

1419

Abstract

In this paper we describe a worst-case ℋ^∞ identification method for multi-input multi-output (MIMO) continuous or discrete-time systems. The method identifies systems from noisy samples of the frequency response. We identify a low-order model and give an upper bound on the error between identified model and true system. Hankel approximation identifies the order and pole positions while Chebycheff approximation improves the optimality of the identified model by tuning the numerator coefficients

Keywords

Chebyshev approximation; MIMO systems; continuous time systems; discrete time systems; frequency response; poles and zeros; reduced order systems; Chebycheff approximation; Hankel approximation; MIMO systems; continuous-time systems; control oriented system identification; discrete-time systems; frequency response; low-order model; multi-input multi-output sytems; noisy samples; optimality; pole positions; upper bound; worst-case ℋ^∞ identification method; Approximation algorithms; Control systems; Educational institutions; Finite impulse response filter; Frequency estimation; Frequency measurement; Frequency response; MIMO; Reduced order systems; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1996., Proceedings of the 35th IEEE Conference on

Conference_Location

Kobe

ISSN

0191-2216

Print_ISBN

0-7803-3590-2

Type

conf

DOI

10.1109/CDC.1996.572711

Filename

572711