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This content will become publicly available on May 31, 2024

Title: On Design of Robust Linear Quadratic Regulators
Closed-loop stability of uncertain linear systems is studied under the state feedback realized by a linear quadratic regulator (LQR). Sufficient conditions are presented that ensure the closed-loop stability in the presence of uncertainty, initially for the case of a non-robust LQR designed for a nominal model not reflecting the system uncertainty. Since these conditions are usually violated for a large uncertainty, a procedure is offered to redesign such a non-robust LQR into a robust one that ensures closed-loop stability under a predefined level of uncertainty. The analysis of this paper largely relies on the concept of inverse optimal control to construct suitable performance measures for uncertain linear systems, which are non-quadratic in structure but yield optimal controls in the form of LQR. The relationship between robust LQR and zero-sum linear quadratic dynamic games is established.  more » « less
Award ID(s):
1941944
NSF-PAR ID:
10481067
Author(s) / Creator(s):
Publisher / Repository:
IEEE
Date Published:
Page Range / eLocation ID:
3833 - 3838
Format(s):
Medium: X
Location:
San Diego, CA, USA
Sponsoring Org:
National Science Foundation
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