Kemin Zhou

TL;DR: In this paper, the problem of robustly stabilizing a linear uncertain system is considered with emphasis on the interplay between the time-domain results on the quadratic stabilization of uncertain systems and the frequency domain results on H/sup infinity / optimization.

TL;DR: In this article, robust stabilization of a class of linear systems with norm-bounded time-varying uncertainties is considered, and it is shown that for this class of uncertain systems quadratic stabilizability via linear control is equivalent to the existence of a positive definite symmetric matrix solution to a (parameter-dependent) Riccati equation.

TL;DR: In this article, the authors considered the general four-block H ∞ optimal control problem with the assumption that system states are available for feedback and showed that the optimal norm of the closed loop transfer function over all linear constant, i.e., non-dynamic, stabilizing state feedback laws can be characterized via an algebraic Riccati equation.

TL;DR: The distinguished feature of the new controller architecture is that it shows structurally how the controller design for performance and robustness may be done separately which has the potential to overcome the conflict between performance and resilientness in the traditional feedback framework.