Robust cautious data driven control with guaranteed mean square stability
Paper in proceedings, 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

Author

Balázs Adam Kulcsár

Chalmers, Signals and Systems, Systems and control, Automatic Control

M. Verhaegen

Delft University of Technology

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

0191-2216 (ISSN)

2276-2281

Areas of Advance

Transport

Subject Categories

Control Engineering

DOI

10.1109/CDC.2010.5717081

ISBN

978-142447745-6

More information

Latest update

5/14/2018