Using data informativity for online stabilization of unknown switched linear systems

التفاصيل البيبلوغرافية
العنوان: Using data informativity for online stabilization of unknown switched linear systems
المؤلفون: Eising, Jaap, Liu, Shenyu, Martinez, Sonia, Cortes, Jorge
المصدر: 2022 IEEE 61st Conference on Decision and Control (CDC).
بيانات النشر: IEEE, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control
الوصف: This work studies data-driven switched controller design for discrete-time switched linear systems. Instead of having access to the full system dynamics, an initialization phase is performed, during which noiseless measurements of the state and the input are collected for each mode. Under certain conditions on these measurements, we develop a stabilizing switched controller for the switched system. To be precise, the controller switches between identifying the active mode of the system and applying a predetermined stabilizing feedback. We prove that if the system switches according to certain specifications, this controller stabilizes the closed-loop system. Simulations on a network example illustrate our approach.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6502b1ff0225c42607846608f8af43f
https://doi.org/10.1109/cdc51059.2022.9992675
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....c6502b1ff0225c42607846608f8af43f
قاعدة البيانات: OpenAIRE