Robust cautious data driven control with guaranteed mean square stability
Paper i proceeding, 2010

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.

LMI

closed-loop pre- dictor

robust and stochastic control

Data driven control design

Författare

Balázs Adam Kulcsár

Chalmers, Signaler och system, System- och reglerteknik, Reglerteknik

M. Verhaegen

Technische Universiteit Delft

Proceedings of 49th IEEE Conference on Decision and Control, December 15-17, Atlanta, Georgia, USA, 2010

0191-2216 (ISSN)

2276-2281

Styrkeområden

Transport

Ämneskategorier

Reglerteknik

DOI

10.1109/CDC.2010.5717081

ISBN

978-142447745-6

Mer information

Senast uppdaterat

2018-05-14