Online identification of continuous bimodal and trimodal piecewise affine systems

Conference Paper (2016)
Author(s)

Q.T. Le (TU Delft - Team Bart De Schutter, Quy Nhon University)

A.J.J. van den Boom (TU Delft - Team Bart De Schutter)

Simone Baldi (TU Delft - Team Bart De Schutter)

Research Group
Team Bart De Schutter
Copyright
© 2016 Q.T. Le, A.J.J. van den Boom, S. Baldi
DOI related publication
https://doi.org/10.1109/ECC.2016.7810432
More Info
expand_more
Publication Year
2016
Language
English
Copyright
© 2016 Q.T. Le, A.J.J. van den Boom, S. Baldi
Research Group
Team Bart De Schutter
Pages (from-to)
1075-1080
ISBN (print)
978-1-5090-2591-6
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.

Files

ECC16_0425_FI.pdf
(pdf | 1.99 Mb)
License info not available