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Robust cautious data driven control with guaranteed mean square stability

Balazs Kulcsar (Institutionen för signaler och system, Reglerteknik) ; M. Verhaegen
Proceedings of 49th IEEE Conference on Decision and Control, December 15-17, Atlanta, Georgia, USA, 2010 (0191-2216). p. 2276-2281. (2010)
[Konferensbidrag, refereegranskat]

The paper presents a cautious and robust ap- proach for data driven control synthesis. It proposes to parame- terize a closed-loop LTI output predictor by Least Squares (LS) estimated and stochastically uncertain Markov parameters, completely characterizable by measured input and output (I/O) data. Direct embedding of I/O data, carrying uncertain Markov parameter information, into the robust infinite horizon controller design method does not only guarantee mean square stability of the closed-loop system under stochastic model uncertainties, but also reject the effect of disturbance term over a pre-defined performance output. Example shows the effectiveness of the elaborated method.

Nyckelord: Data driven control design, closed-loop pre- dictor, robust and stochastic control, LMI

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Denna post skapades 2011-01-17. Senast ändrad 2012-04-20.
CPL Pubid: 134174


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Institutionen för signaler och system, Reglerteknik



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