On LQG control of stochastic port-Hamiltonian systems on infinite-dimensional spaces

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Résumé

This paper presents an ongoing research on the infinite horizon Linear Quadratic Gaussian (LQG for short) control problem for stochastic port-Hamiltonian systems on infinite-dimensional spaces with bounded input, output and noise operators. An adapted version of the separation principle is stated for this specific class of systems. Under suitable conditions, the LQG controller is shown to preserve the stochastic port-Hamiltonian structure. Finally, we propose some perspectives and open tracks to follow. The theory is illustrated on an example of vibrating string subject to a Hilbert space valued random forcing
langue originaleAnglais
titreOn LQG control of stochastic port-Hamiltonian systems on infinite-dimensional spaces
Lieu de publicationIn proceedings of the 23rd Symposium on Mathematical Theory of Networks and Systems
Pages197-203
Nombre de pages7
Etat de la publicationPublié - 2018
Evénement23rd Symposium on Mathematical Theory of Networks and Systems - Hong Kong
Durée: 16 juil. 201820 juil. 2018
http://mtns2018.ust.hk/

Une conférence

Une conférence23rd Symposium on Mathematical Theory of Networks and Systems
Titre abrégé23rd MTNS
période16/07/1820/07/18
Adresse Internet

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  • Contient cette citation

    Lamoline, F., & Winkin, J. (2018). On LQG control of stochastic port-Hamiltonian systems on infinite-dimensional spaces. Dans On LQG control of stochastic port-Hamiltonian systems on infinite-dimensional spaces (p. 197-203). http://mtns2018.ust.hk/proceedings_online.html