Developing and Testing Dynamic Models for HVAC Systems Using System Identification Approach

American Journal of Engineering and Applied Sciences ◽

10.3844/ajeassp.2017.192.199 ◽

2017 ◽

Vol 10 (1) ◽

pp. 192-199

Author(s):

Nabil Nassif ◽

Jasmine Buford ◽

Taher M. Abu-Lebdeh

Keyword(s):

System Identification ◽

Dynamic Models ◽

Hvac Systems ◽

Identification Approach

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Dynamic models of student performance: a system identification approach

International Journal of Modelling Identification and Control ◽

10.1504/ijmic.2011.042339 ◽

2011 ◽

Vol 14 (1/2) ◽

pp. 46

Author(s):

Sara I. Khaddaj ◽

Rayyan G. Jaber ◽

Fadi N. Karameh

Keyword(s):

System Identification ◽

Student Performance ◽

Dynamic Models ◽

Identification Approach

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System identification methods for dynamic models of brain activity

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.102765 ◽

2021 ◽

Vol 68 ◽

pp. 102765

Author(s):

Tristan D. Griffith ◽

James E. Hubbard

Keyword(s):

System Identification ◽

Dynamic Models ◽

Brain Activity ◽

Identification Methods

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An optimization procedure for a nonlinear system identification approach based on cubic splines

2015 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) ◽

10.1109/ecai.2015.7301216 ◽

2015 ◽

Author(s):

Laura Romoli ◽

Stefania Cecchi ◽

Michele Gasparini ◽

Francesco Piazza

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Optimization Procedure ◽

Cubic Splines ◽

Identification Approach

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Evaluating longitudinal vibration characteristics of bonded strands embedded in prestressed concrete beams by a system identification approach

Composites Part B Engineering ◽

10.1016/j.compositesb.2011.08.008 ◽

2012 ◽

Vol 43 (3) ◽

pp. 1531-1537 ◽

Author(s):

Byeong Hwa Kim ◽

Jung Bum Jang ◽

Hong Pyo Lee ◽

Do Hyung Lee

Keyword(s):

System Identification ◽

Prestressed Concrete ◽

Concrete Beams ◽

Longitudinal Vibration ◽

Vibration Characteristics ◽

Identification Approach

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Source separation: A TITO system identification approach

Signal Processing ◽

10.1016/s0165-1684(98)00191-1 ◽

1999 ◽

Vol 73 (1-2) ◽

pp. 169-183 ◽

Author(s):

Holger Broman ◽

Ulf Lindgren ◽

Henrik Sahlin ◽

Petre Stoica

Keyword(s):

System Identification ◽

Source Separation ◽

Identification Approach

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A system identification approach to the analysis of VRLA batteries

Fourteenth Annual Battery Conference on Applications and Advances. Proceedings of the Conference (Cat. No.99TH8371) ◽

10.1109/bcaa.1999.796001 ◽

1999 ◽

Author(s):

S.P. Schooling ◽

P.E. Wellstead ◽

M.B. Zarrop ◽

N.D. Scott

Keyword(s):

System Identification ◽

Identification Approach

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System Identification Approach for a Tethered Airship

24th AIAA Aerodynamic Decelerator Systems Technology Conference ◽

10.2514/6.2017-3391 ◽

2017 ◽

Author(s):

Jonatas S. Santos ◽

Stojan Stevanovic ◽

Konstantin Kondak ◽

Luiz C. Goes ◽

Rajkumar S. Pant

Keyword(s):

System Identification ◽

Identification Approach

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High-speed link analysis with system identification approach

2017 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI) ◽

10.1109/isemc.2017.8077965 ◽

2017 ◽

Author(s):

YongJin Choi ◽

Christopher Cheng

Keyword(s):

System Identification ◽

Link Analysis ◽

Identification Approach

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From Physiological Signals to Pulsatile Dynamics: A Sparse System Identification Approach

Dynamic Neuroscience ◽

10.1007/978-3-319-71976-4_10 ◽

2018 ◽

pp. 239-265 ◽

Author(s):

Rose T. Faghih

Keyword(s):

System Identification ◽

Physiological Signals ◽

Sparse System ◽

Identification Approach ◽

Sparse System Identification

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LPV system identification using the matchable observable linear identification approach

2017 IEEE 56th Annual Conference on Decision and Control (CDC) ◽

10.1109/cdc.2017.8264342 ◽

2017 ◽

Author(s):

P. Lopes dos Santos ◽

R. Romano ◽

T-P Azevedo-Perdicoulis ◽

Daniel E. Rivera ◽

J. A. Ramos

Keyword(s):

System Identification ◽

Identification Approach ◽

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