Access Restriction

Author Contreras, B.M.G. ♦ Pulido, L.F. ♦ Lumbreras, M.A.M. ♦ Contreras, I.H. ♦ Aguilar, M.A.C.
Sponsorship IEEE Comput. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods ♦ Natural sciences & mathematics ♦ Physics ♦ Electricity & electronics
Subject Keyword Linear system ♦ identification system ♦ linear control ♦ sub-space methods
Abstract Practitioner engineers in both academic and industrial areas, are often faced with the challenge of identifying the model of a given system or process in order to setup a controller or to extract some useful information. Among the existing identification algorithms, those being numerically simple and stable are more attractive for practitioners. This paper deals with identification of state-space models, i.e., the state space matrices A, B, C and D for multivariable dynamic systems directly from test data (data-driven). In order to guarantee numerical reliability and modest computational complexity compared with other identification techniques, in this paper, we propose a synergistic identification technique based on the principal components analysis (PCA) and subspace identification method (SIM) under white noise assumptions. The proposed technique identifies the parity space - PS (or null space) from input/output data, and from there, the matrices related to the system through the extended observability matrix and a block triangular Toeplitz matrix. In order to show its capability, the proposed identification technique is applied to an academic test bed that is related to a hydraulic process.
Description Author affiliation: Fac. de Cienc. Basicas, Ing. y Tecnol., Univ. Autonoma de Tlaxcala (UAT), Tlaxcala, Mexico (Contreras, B.M.G.; Pulido, L.F.; Lumbreras, M.A.M.; Contreras, I.H.; Aguilar, M.A.C.)
ISBN 9781467350969
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-11-19
Publisher Place Mexico
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 539.91 kB
Page Count 6
Starting Page 237
Ending Page 242

Source: IEEE Xplore Digital Library