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Keywords: System identification
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Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Comput. Nonlinear Dynam. March 2020, 15(3): 031004.
Paper No: CND-18-1445
Published Online: January 23, 2020
... models. e-mail: naveed.ishtiaq@iiu.edu.pk e-mail: ehma458@gmail.com e-mail: dedovicn@polj.uns.ac.rs e-mail: Muhammad.asif@ciit-attock.edu.pk 02 10 2018 22 12 2019 23 01 2020 parameter estimation system identification adaptive algorithms momentum LMS...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Comput. Nonlinear Dynam. June 2019, 14(6): 061006.
Paper No: CND-18-1456
Published Online: April 8, 2019
... nonlinear dynamics system identification data-driven methods tensor networks tensor-train format The identification of governing equations from data plays an increasingly important role in the field of nonlinear dynamical systems. After all, in many practically relevant situations, the actual...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Comput. Nonlinear Dynam. January 2017, 12(1): 011008.
Paper No: CND-16-1026
Published Online: September 1, 2016
...Pileun Kim; Jonathan Rogers; Jie Sun; Erik Bollt Parameter estimation is an important topic in the field of system identification. This paper explores the role of a new information theory measure of data dependency in parameter estimation problems. Causation entropy is a recently proposed...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Comput. Nonlinear Dynam. January 2017, 12(1): 011003.
Paper No: CND-15-1280
Published Online: September 1, 2016
.... 06 09 2015 24 07 2016 Aerospace applications Flexible-cody dynamics Parameter estimation Rigid-body dynamics System identification Flexible-body dynamics The space structure is widely used in the aerospace and civil engineering [ 1 , 2 ]. Unfortunately, its light...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Comput. Nonlinear Dynam. March 2016, 11(2): 021012.
Paper No: CND-13-1229
Published Online: October 1, 2015
...Yuzhu Guo; L. Z. Guo; S. A. Billings; Z. Q. Lang A new efficient system identification method is introduced to determine the model structure and parameter estimates of an unknown structural system to produce a multi-input multi-output (MIMO) model. No a priori knowledge is assumed regarding...
