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Robust Linear Quadratic Regulator for uncertain systems

I. Tzortzis ; C. D. Charalambous ; Themistoklis Charalambous (Institutionen för signaler och system, Kommunikationssystem) ; C. K. Kourtellaris ; C. N. Hadjicostis
Proceedings of the 55th IEEE Conference on Decision and Control (CDC 2016); Las Vegas; United States; 12-14 December 2016 (0743-1546). p. Art no 7798481, Pages 1515-1520. (2016)
[Konferensbidrag, refereegranskat]

This paper develops a Linear Quadratic Regulator (LQR), which is robust to disturbance variability, by using the total variation distance as a metric. The robust LQR problem is formulated as a minimax optimization problem, resulting in a robust optimal controller which in addition to minimizing the quadratic cost it also minimizes the level of disturbance variability. A procedure for solving the LQR problem is also proposed and an example is presented which clearly illustrates the effectiveness of our developed methodology.

Denna post skapades 2017-02-22. Senast ändrad 2017-07-07.
CPL Pubid: 248285


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Institutionen för signaler och system, Kommunikationssystem (1900-2017)


Elektroteknik och elektronik

Chalmers infrastruktur