Learning restrictions on admissible switching signals for switched systems

Kundu, A (2021) Learning restrictions on admissible switching signals for switched systems. In: 2021 60th IEEE Conference on Decision and Control (CDC), 14-17 Dec. 2021, Austin, TX, USA, pp. 2468-2473.

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Abstract

The knowledge of restrictions on the set of admissible switching signals is important for the design of control strategies for switched systems. We propose an algorithm that learns these restrictions by collecting data from a gray-box simulation model of the switched system. Our learning technique is a modified version of the well-known L�-algorithm from machine learning literature. Examples are presented to demonstrate our learning algorithm. © 2021 IEEE.

Item Type:	Conference Paper
Publication:	Proceedings of the IEEE Conference on Decision and Control
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Learning systems, Control strategies; Grey-box; L-algorithm; Learn+; Learning techniques; Machine learning literature; Simulation model; Switched system; Switching signals, Learning algorithms
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	15 May 2022 17:08
Last Modified:	15 May 2022 17:08
URI:	https://eprints.iisc.ac.in/id/eprint/71664

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