TY - GEN
T1 - Robust controller design using the Large Gain Theorem
T2 - 2016 American Control Conference, ACC 2016
AU - Caverly, Ryan James
AU - Forbes, James Richard
PY - 2016/7/28
Y1 - 2016/7/28
N2 - This paper presents full-state feedback controller synthesis methods that are robust to inverse additive uncertainty via the Large Gain Theorem. In particular, the controller synthesis methods can account for unstable uncertainties. Controllers are designed to either maximize robustness or maximize performance while satisfying a linear matrix inequality (LMI) that enforces a sufficient condition on the minimum gain of the closed-loop system. The Large Gain Theorem is used to prove the robust input-output stability of the system subject to inverse additive uncertainty. A numerical example is provided to illustrate the proposed controller design methods.
AB - This paper presents full-state feedback controller synthesis methods that are robust to inverse additive uncertainty via the Large Gain Theorem. In particular, the controller synthesis methods can account for unstable uncertainties. Controllers are designed to either maximize robustness or maximize performance while satisfying a linear matrix inequality (LMI) that enforces a sufficient condition on the minimum gain of the closed-loop system. The Large Gain Theorem is used to prove the robust input-output stability of the system subject to inverse additive uncertainty. A numerical example is provided to illustrate the proposed controller design methods.
UR - http://www.scopus.com/inward/record.url?scp=84992089029&partnerID=8YFLogxK
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U2 - 10.1109/ACC.2016.7525510
DO - 10.1109/ACC.2016.7525510
M3 - Conference contribution
AN - SCOPUS:84992089029
T3 - Proceedings of the American Control Conference
SP - 3832
EP - 3837
BT - 2016 American Control Conference, ACC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 July 2016 through 8 July 2016
ER -