An on-line identification scheme for shear building models using recursive least squares with a matrix parameterized model is presented. Based on Gershgorin circles and tridiagonal matrices properties, the identified model stability is guaranteed in the presence of low excitation or low damping. Stability of the model helps in the design of more robust control laws. The scheme is evaluated in an experimental test-bed with a scaled five stories building where an on-line reduced order model is derived. Results indicate that when employing this matrix parametrization, a significant reduction in the number of calculations involved is achieved, when compared to the standard vector parametrization based schemes, such that real-time applications are feasible to implement. Moreover, the stability on the identified model is preserved.
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ASME 2017 Dynamic Systems and Control Conference
October 11–13, 2017
Tysons, Virginia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5829-5
PROCEEDINGS PAPER
On-Line Identification of Three-Dimensional Shear Building Models Available to Purchase
M. A. García-Illescas,
M. A. García-Illescas
Universidad Nacional Autónoma de México, México Distrito Federal, Mexico
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Luis Alvarez-Icaza
Luis Alvarez-Icaza
Universidad Nacional Autónoma de México, México Distrito Federal, Mexico
Search for other works by this author on:
M. A. García-Illescas
Universidad Nacional Autónoma de México, México Distrito Federal, Mexico
Luis Alvarez-Icaza
Universidad Nacional Autónoma de México, México Distrito Federal, Mexico
Paper No:
DSCC2017-5102, V003T22A001; 8 pages
Published Online:
November 14, 2017
Citation
García-Illescas, MA, & Alvarez-Icaza, L. "On-Line Identification of Three-Dimensional Shear Building Models." Proceedings of the ASME 2017 Dynamic Systems and Control Conference. Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems. Tysons, Virginia, USA. October 11–13, 2017. V003T22A001. ASME. https://doi.org/10.1115/DSCC2017-5102
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