Sentence examples for matrix inequality approaches from inspiring English sources

Both of them are presented using the linear matrix inequality approaches, with the help of the LMI toolbox in MATLAB, and three numerical examples have been given to demonstrate the effectiveness of the proposed method.

In fact, there are a lot of existing works addressing this problem, and various methods have been proposed, e.g., Riccati equation approach, rank-constrained condition, approach based on structural properties, bilinear matrix inequality (BMI) approaches, min-max optimization techniques, and linear matrix inequality approaches [28, 29].

In all cases, the gain matrices are determined by linear matrix inequality approach.

The subsequent stated controller matrices are found by using the Linear Matrix Inequality approach.

A linear matrix inequality approach is presented for designing such an observer-based l2 l∞ controller.

By matrix inequality approach, the robust quadratic stability of the system is studied.

An effective linear matrix inequality approach is developed to solve the neuron state estimation problem.

The controllers are derived by using the linear matrix inequality approach.

The adaptive controller is designed by a linear matrix inequality approach.

A linear matrix inequality approach is employed to design the desired state feedback controllers.

Linear matrix inequality approach has been employed to solve the stability and control design problems.