Investigating stability for driver advisory train cruise control systems with aperiodically sampled measurements
| Autor: | Denis Berdjag, Philippe Polet, Christophe Fiter, A. K. Jain |
|---|---|
| Přispěvatelé: | Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Université de Lille |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Lyapunov stability
050210 logistics & transportation 0209 industrial biotechnology Stability criterion Computer science 05 social sciences Stability (learning theory) 02 engineering and technology Aerodynamics State (functional analysis) [SPI.AUTO]Engineering Sciences [physics]/Automatic 020901 industrial engineering & automation Control theory Bounded function 0502 economics and business Full state feedback Cruise control |
| Zdroj: | 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Sep 2020, Rhodes, Greece. pp.1-6, ⟨10.1109/ITSC45102.2020.9294410⟩ ITSC |
| DOI: | 10.1109/ITSC45102.2020.9294410⟩ |
| Popis: | International audience; In this paper, the advisory train cruise control stability with a driver in the loop is investigated, where the driver's state is measured by an external device. A novel stability criterion is proposed, aware of the varying behaviour of the driver in the system. For this purpose, the driver is modelled as a time varying system, and the dynamic model of the train is formed by considering rolling and aerodynamic resistance forces. In order to ascertain stability, a sampled- data based state feedback controller is considered. Converting the sampling period into a bounded time-varying delay, the addressed problem is transformed to the problem of stability analysis of time-varying delayed system. Based on Lyapunov stability theory, a novel Lyapunov Krasovskii Functional (LKF) is designed to provide sufficient conditions for the existence of L2 stability of the system in terms of solvable Linear Matrix Inequalities. A case study is given to illustrate the effectiveness of the proposed method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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