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Lyapunov functions for linear stochastic differential equations: BMI formulation of the conditions

Rannsóknarafurð: Kafli í bók/skýrslu/ráðstefnuritiRáðstefnuframlagritrýni

Útdráttur

We present a bilinear matrix inequality (BMI) formulation of the conditions for a Lyapunov functions for autonomous, linear stochastic differential equations (SDEs). We review and collect useful results from the theory of stochastic stability of the null solution of an SDE. Further, we discuss the Itô- and Stratonovich interpretation and linearizations and Lyapunov functions for linear SDEs. Then we discuss the construction of Lyapunov functions for the damped pendulum, wihere the spring constant is modelled as a stochastic process. We implement in Matlab the characterization of its canonical Lyapunov function as BMI constraints and consider some practical implementation strategies. Further, we demonstrate that the general strategy is applicable to general autonomous and linear SDEs. Finally, we verify our findings by comparing with results from the literature.

Upprunalegt tungumálEnska
Titill gistiútgáfuICINCO 2019 - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics
RitstjórarOleg Gusikhin, Kurosh Madani, Janan Zaytoon
ÚtgefandiSciTePress
Síður147-155
Síðufjöldi9
ISBN-númer (rafrænt)9789897583803
DOI
ÚtgáfustaðaÚtgefið - 2019
Viðburður16th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2019 - Prague, Tékkland
Tímalengd: 29 júl. 201931 júl. 2019

Ritröð

NafnICINCO 2019 - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics
Bindi1

Ráðstefna

Ráðstefna16th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2019
Land/YfirráðasvæðiTékkland
Borg/bærPrague
Tímabil29/07/1931/07/19

Athugasemd

Funding Information: The research done for this paper was supported by the Icelandic Research Fund (Rannís) in the project ‘Lya-punov Methods and Stochastic Stability’ (152429-051), which is gratefully acknowledged. Publisher Copyright: Copyright © 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

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