Indefinite-quadratic estimation and control: a unified approach to H2 and H∞ theories
Indefinite-quadratic estimation and control: a unified approach to H2 and H∞ theories
Stochastic Linear-Quadratic Control via Semidefinite Programming
SIAM Journal on Control and Optimization
Convex Optimization
Automation and Remote Control
Anisotropy-based robust performance analysis of finite horizon linear discrete time varying systems
Automation and Remote Control
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Consideration is given to an nonstrict linear matrix inequality and associated Riccati equation that occurs on solving problems of analysis and synthesis of linear stationary discrete time systems. The strongly rank-minimizing solution to the considered linear matrix inequality also satisfies the associated Riccati equation. In this paper, a sufficient condition for finding this strongly rank-minimizing solution is represented.