Robust State Feedback Control Design with Probabilistic System Parameters Conference Paper

abstract

• 2014 IEEE. In this paper, a new polynomial chaos based framework for analyzing linear systems with probabilistic parameters is presented. Stability analysis and synthesis of optimal quadratically stabilizing controllers for such systems are presented as convex optimization problems, with exponential mean square stability guarantees. A Monte-Carlo approach for analysis and synthesis is also presented, which is used to benchmark the polynomial chaos based approach. The computational advantage of the polynomial chaos approach is shown with an example based on the design of an optimal EMS-stabilizing controller, for an F-16 aircraft model.

name of conference

• 53rd IEEE Conference on Decision and Control

authors

• Bhattacharya, Raktim

published proceedings

• 2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC)

author list (cited authors)

• Bhattacharya, R.

citation count

• 11

complete list of authors

• Bhattacharya, Raktim

publication date

• December 2014

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control  Journal

keywords

• Cs.sy

Digital Object Identifier (DOI)

• 10.1109/cdc.2014.7039823

start page

• 2828

end page

• 2833

volume

• 2015-February

issue

• February

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fcdc.2014.7039823