Advances in System Identification: Theory and Applications

Damien Gueho; Puneet Singla; Manoranjan Majji; Jer Nan Juang

doi:10.1109/CDC45484.2021.9683394

Advances in System Identification: Theory and Applications

Damien Gueho, Puneet Singla, Manoranjan Majji, Jer Nan Juang

Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper describes the main features and the most recent developments of system identification in the sense of data-driven modeling of dynamical systems. A brief summary of discrete time-invariant system identification techniques is provided, from the modern work of Gilbert, Kalman and Ho and the introduction of state-space realization, to the most recent developments of the identification of discrete time-varying and nonlinear systems. Important concepts of state-space realization, controllability and observability for linear systems are introduced along with more advanced methods to identify nonlinear dynamics. Numerical examples of varying complexity are considered to demonstrate the capability of the different approaches presented in this paper.

Original language	English (US)
Title of host publication	60th IEEE Conference on Decision and Control, CDC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	22-30
Number of pages	9
ISBN (Electronic)	9781665436595
DOIs	https://doi.org/10.1109/CDC45484.2021.9683394
State	Published - 2021
Event	60th IEEE Conference on Decision and Control, CDC 2021 - Austin, United States Duration: Dec 13 2021 → Dec 17 2021

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	2021-December
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	60th IEEE Conference on Decision and Control, CDC 2021
Country/Territory	United States
City	Austin
Period	12/13/21 → 12/17/21

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

Access to Document

10.1109/CDC45484.2021.9683394

Cite this

Gueho, D., Singla, P., Majji, M., & Juang, J. N. (2021). Advances in System Identification: Theory and Applications. In 60th IEEE Conference on Decision and Control, CDC 2021 (pp. 22-30). (Proceedings of the IEEE Conference on Decision and Control; Vol. 2021-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC45484.2021.9683394

@inproceedings{3bba73ad70314131aa4ecfe23bce127b,

title = "Advances in System Identification: Theory and Applications",

abstract = "This paper describes the main features and the most recent developments of system identification in the sense of data-driven modeling of dynamical systems. A brief summary of discrete time-invariant system identification techniques is provided, from the modern work of Gilbert, Kalman and Ho and the introduction of state-space realization, to the most recent developments of the identification of discrete time-varying and nonlinear systems. Important concepts of state-space realization, controllability and observability for linear systems are introduced along with more advanced methods to identify nonlinear dynamics. Numerical examples of varying complexity are considered to demonstrate the capability of the different approaches presented in this paper. ",

author = "Damien Gueho and Puneet Singla and Manoranjan Majji and Juang, {Jer Nan}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 60th IEEE Conference on Decision and Control, CDC 2021 ; Conference date: 13-12-2021 Through 17-12-2021",

year = "2021",

doi = "10.1109/CDC45484.2021.9683394",

language = "English (US)",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "22--30",

booktitle = "60th IEEE Conference on Decision and Control, CDC 2021",

address = "United States",

}

Gueho, D, Singla, P, Majji, M & Juang, JN 2021, Advances in System Identification: Theory and Applications. in 60th IEEE Conference on Decision and Control, CDC 2021. Proceedings of the IEEE Conference on Decision and Control, vol. 2021-December, Institute of Electrical and Electronics Engineers Inc., pp. 22-30, 60th IEEE Conference on Decision and Control, CDC 2021, Austin, United States, 12/13/21. https://doi.org/10.1109/CDC45484.2021.9683394

Advances in System Identification : Theory and Applications. / Gueho, Damien; Singla, Puneet; Majji, Manoranjan et al.

60th IEEE Conference on Decision and Control, CDC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 22-30 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2021-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Advances in System Identification

T2 - 60th IEEE Conference on Decision and Control, CDC 2021

AU - Gueho, Damien

AU - Singla, Puneet

AU - Majji, Manoranjan

AU - Juang, Jer Nan

PY - 2021

Y1 - 2021

N2 - This paper describes the main features and the most recent developments of system identification in the sense of data-driven modeling of dynamical systems. A brief summary of discrete time-invariant system identification techniques is provided, from the modern work of Gilbert, Kalman and Ho and the introduction of state-space realization, to the most recent developments of the identification of discrete time-varying and nonlinear systems. Important concepts of state-space realization, controllability and observability for linear systems are introduced along with more advanced methods to identify nonlinear dynamics. Numerical examples of varying complexity are considered to demonstrate the capability of the different approaches presented in this paper.

AB - This paper describes the main features and the most recent developments of system identification in the sense of data-driven modeling of dynamical systems. A brief summary of discrete time-invariant system identification techniques is provided, from the modern work of Gilbert, Kalman and Ho and the introduction of state-space realization, to the most recent developments of the identification of discrete time-varying and nonlinear systems. Important concepts of state-space realization, controllability and observability for linear systems are introduced along with more advanced methods to identify nonlinear dynamics. Numerical examples of varying complexity are considered to demonstrate the capability of the different approaches presented in this paper.

UR - http://www.scopus.com/inward/record.url?scp=85126013975&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85126013975&partnerID=8YFLogxK

U2 - 10.1109/CDC45484.2021.9683394

DO - 10.1109/CDC45484.2021.9683394

M3 - Conference contribution

AN - SCOPUS:85126013975

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 22

EP - 30

BT - 60th IEEE Conference on Decision and Control, CDC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 13 December 2021 through 17 December 2021

ER -

Advances in System Identification: Theory and Applications

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this