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Online identification of continuous bimodal and trimodal piecewise affine systems. / Le, Thuan; van den Boom, Ton; Baldi, Simone.

Proceedings 2016 European Control Conference (ECC) . ed. / Anders Rantzer; John Bagterp Jørgensen; Jakob Stoustrup. Piscataway, NJ, USA : IEEE, 2016. p. 1075-1080.

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Harvard

Le, T, van den Boom, T & Baldi, S 2016, Online identification of continuous bimodal and trimodal piecewise affine systems. in A Rantzer, J Bagterp Jørgensen & J Stoustrup (eds), Proceedings 2016 European Control Conference (ECC) . IEEE, Piscataway, NJ, USA, pp. 1075-1080, 2016 European Control Conference, ECC 2016, Aalborg, Denmark, 29/06/16. https://doi.org/10.1109/ECC.2016.7810432

APA

Le, T., van den Boom, T., & Baldi, S. (2016). Online identification of continuous bimodal and trimodal piecewise affine systems. In A. Rantzer, J. Bagterp Jørgensen, & J. Stoustrup (Eds.), Proceedings 2016 European Control Conference (ECC) (pp. 1075-1080). IEEE. https://doi.org/10.1109/ECC.2016.7810432

Vancouver

Le T, van den Boom T, Baldi S. Online identification of continuous bimodal and trimodal piecewise affine systems. In Rantzer A, Bagterp Jørgensen J, Stoustrup J, editors, Proceedings 2016 European Control Conference (ECC) . Piscataway, NJ, USA: IEEE. 2016. p. 1075-1080 https://doi.org/10.1109/ECC.2016.7810432

Author

Le, Thuan ; van den Boom, Ton ; Baldi, Simone. / Online identification of continuous bimodal and trimodal piecewise affine systems. Proceedings 2016 European Control Conference (ECC) . editor / Anders Rantzer ; John Bagterp Jørgensen ; Jakob Stoustrup. Piscataway, NJ, USA : IEEE, 2016. pp. 1075-1080

BibTeX

@inproceedings{ce0d69169f9248279da17e0dbc17ee0c,
title = "Online identification of continuous bimodal and trimodal piecewise affine systems",
abstract = "This paper investigates the identification of continuous piecewise affine systems in state space form with jointly unknown partition and subsystem matrices. The partition of the system is generated by the so-called centers. By representing continuous piecewise affine systems in the max-form and using a recursive Gauss-Newton algorithm for a suitable cost function, we derive adaptive laws to online estimate parameters including both subsystem matrices and centers. The effectiveness of the proposed approach is demonstrated with a numerical example.",
keywords = "Cost function, Partitioning algorithms, Control systems, Differential equations, Mathematical model, Convergence, Europe",
author = "Thuan Le and {van den Boom}, Ton and Simone Baldi",
note = "Accepted Author Manuscript; 2016 European Control Conference, ECC 2016 : 15th annual European Control Conference, ECC'16 ; Conference date: 29-06-2016 Through 01-07-2016",
year = "2016",
doi = "10.1109/ECC.2016.7810432",
language = "English",
isbn = "978-1-5090-2591-6",
pages = "1075--1080",
editor = "Anders Rantzer and {Bagterp J{\o}rgensen}, John and Jakob Stoustrup",
booktitle = "Proceedings 2016 European Control Conference (ECC)",
publisher = "IEEE",
address = "United States",
url = "http://www.ecc16.eu/index.shtml",

}

RIS

TY - GEN

T1 - Online identification of continuous bimodal and trimodal piecewise affine systems

AU - Le, Thuan

AU - van den Boom, Ton

AU - Baldi, Simone

N1 - Accepted Author Manuscript

PY - 2016

Y1 - 2016

N2 - This paper investigates the identification of continuous piecewise affine systems in state space form with jointly unknown partition and subsystem matrices. The partition of the system is generated by the so-called centers. By representing continuous piecewise affine systems in the max-form and using a recursive Gauss-Newton algorithm for a suitable cost function, we derive adaptive laws to online estimate parameters including both subsystem matrices and centers. The effectiveness of the proposed approach is demonstrated with a numerical example.

AB - This paper investigates the identification of continuous piecewise affine systems in state space form with jointly unknown partition and subsystem matrices. The partition of the system is generated by the so-called centers. By representing continuous piecewise affine systems in the max-form and using a recursive Gauss-Newton algorithm for a suitable cost function, we derive adaptive laws to online estimate parameters including both subsystem matrices and centers. The effectiveness of the proposed approach is demonstrated with a numerical example.

KW - Cost function

KW - Partitioning algorithms

KW - Control systems

KW - Differential equations

KW - Mathematical model

KW - Convergence

KW - Europe

UR - http://resolver.tudelft.nl/uuid:ce0d6916-9f92-4827-9da1-7e0dbc17ee0c

U2 - 10.1109/ECC.2016.7810432

DO - 10.1109/ECC.2016.7810432

M3 - Conference contribution

SN - 978-1-5090-2591-6

SP - 1075

EP - 1080

BT - Proceedings 2016 European Control Conference (ECC)

A2 - Rantzer, Anders

A2 - Bagterp Jørgensen, John

A2 - Stoustrup, Jakob

PB - IEEE

CY - Piscataway, NJ, USA

T2 - 2016 European Control Conference, ECC 2016

Y2 - 29 June 2016 through 1 July 2016

ER -

ID: 14882974