Behavioral Model Identification
(1998) 37th Conference on Decision and Control, 1998 p.126-131- Abstract
- This paper presents theory and algorithms for system identification suitable for the framework of behavioral system theory. An algorithm based on algebraic system theory and realization theory (Ho-Kalman realization) in a subspace model identification framework is presented. The novel approach considered consists of the formulation of input-output data as an impulse response model and the subsequent application of state-space realization. As a special case, behavioral model identification from finite data sequences is demonstrated.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8516893
- author
- Johansson, Rolf LU ; Verhaegen, Michel ; Chou, C. T. and Robertsson, Anders LU
- organization
- publishing date
- 1998
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- system identification, behavioral system theory, subspace model, input-output data, impulse response, state-space model, behavioral model, MIMO systems
- host publication
- Proc. IEEE Conf. Decision and Control (CDC'98), Tampa, Florida, December 1998
- pages
- 126 - 131
- conference name
- 37th Conference on Decision and Control, 1998
- conference location
- Tampa, Florida, United States
- conference dates
- 1998-12-18 - 1998-12-18
- external identifiers
-
- scopus:0032268680
- DOI
- 10.1109/CDC.1998.760602
- language
- English
- LU publication?
- yes
- id
- b81cf538-d0fb-4adf-86e2-358fd6fa9593 (old id 8516893)
- date added to LUP
- 2016-04-04 13:07:14
- date last changed
- 2022-01-29 23:46:39
@inproceedings{b81cf538-d0fb-4adf-86e2-358fd6fa9593, abstract = {{This paper presents theory and algorithms for system identification suitable for the framework of behavioral system theory. An algorithm based on algebraic system theory and realization theory (Ho-Kalman realization) in a subspace model identification framework is presented. The novel approach considered consists of the formulation of input-output data as an impulse response model and the subsequent application of state-space realization. As a special case, behavioral model identification from finite data sequences is demonstrated.}}, author = {{Johansson, Rolf and Verhaegen, Michel and Chou, C. T. and Robertsson, Anders}}, booktitle = {{Proc. IEEE Conf. Decision and Control (CDC'98), Tampa, Florida, December 1998}}, keywords = {{system identification; behavioral system theory; subspace model; input-output data; impulse response; state-space model; behavioral model; MIMO systems}}, language = {{eng}}, pages = {{126--131}}, title = {{Behavioral Model Identification}}, url = {{http://dx.doi.org/10.1109/CDC.1998.760602}}, doi = {{10.1109/CDC.1998.760602}}, year = {{1998}}, }