Sentence examples for matrix inequality approach from inspiring English sources

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.

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

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

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.

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].

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.

A robust fast output sampling feedback gain which realizes this state feedback gain is obtained using linear matrix inequalities approach.

A Linear Matrix Inequalities (LMIs) approach via Lyapunov Krasovskii method originating in the earlier work [Fridman, E., Dambrine, M., & Yeganefar, N. (2008). On input-to-state stability of systems with time-delay: A matrix inequalities approach.

Two designs were carried out to obtain the H∞ control: i) the classic Riccati equation based and ii) the Linear Matrix Inequalities approach.