Sentence examples for matrix inequality framework from inspiring English sources

Based on the H∞/LMI (Linear Matrix Inequality) framework, the proposed methodological guidelines allow to select an appropriate design strategy associated with its resolution technique.

Based on Lyapunov stability theory and linear matrix inequality framework, the existence condition for feasible controllers is derived in terms of linear matrix inequalities.

Using the Lyapunov method and LMI (linear matrix inequality) framework, two criteria for the existence of the controller are derived in terms of LMIs.

All four designs are cast in the linear matrix inequality framework and incorporate parametric uncertainties described by a bounded convex polyhedral domain.

In this paper, a new control method based on the Lyapunov method and linear matrix inequality framework is proposed to design a stabilizing controller for synchronizing two different chaotic systems.

On the basis of the admissibility assumption of the uncertain singular systems, a set of necessary and sufficient conditions for the existence of the desired filters is established, and a normal filter design method under the linear matrix inequality framework is proposed.

We achieve this via multiple Lyapunov functionals and the linear matrix inequalities framework.

The controllers have the same structure as the plants and are solved within the linear matrix inequality (LMI) framework.

The design is formulated in Linear Matrix Inequality (LMI) framework, such that the optimal solution of the stated control problem is obtained.

This paper presents a novel projection lemma based linear matrix inequality (LMI) framework to design reduced-order multi-objective H2/H∞ controllers for linear time-invariant systems.

This paper proposes a switching steering vehicle control designed using the linear quadratic regulator (LQR) problem, the Linear Matrix Inequality (LMI) framework and the H∞ norm.