Sentence examples for matrix inequality algorithm from inspiring English sources
Simulated controllers constructed numerically via the linear matrix inequality algorithm elaborate relationships between designed input flowrate and voltage tracking error.
The convex linear matrix inequality algorithm is utilized for numerical construction of the state-feedback control law.
The conditions in Theorem 5 are described in terms of two matrix inequalities, which can be realized by using the linear matrix inequality algorithm proposed in [28].
These conditions are described in terms of certain diagonal matrix inequalities, which can be realized by using the linear matrix inequality algorithm proposed in [14].
First, a constant output feedback design approach on simultaneous optimal control is presented for a collection of linear time-invariant discrete-time systems and a heuristic iterative linear matrix inequality algorithm is developed to compute the feedback gain.
But Zhang et al. in [12] proved that these conditions are described in terms of certain symmetric matrix inequalities, which can be realized by using the Schur complement lemma and linear matrix inequality algorithm proposed in [14].
Alternatively, we can apply two-steps and iterative linear matrix inequality algorithms that alternate between the PTVMSFC and PTVMSOFC designs.
Based on linear matrix inequality algorithms, the magnitude and rate constraints on the actuator and the deviations of fluid density and water level are formulated while the tracking abilities on the drum pressure and power output are optimized.
Alternative (ii) is implemented via an LMI (Linear Matrix Inequalities) algorithm.
The PID based PSS design problem is reduced to find an optimal gain vector via an H∞ static output feedback control (H∞-SOF) technique, and the solution is easily carried out using a developed iterative linear matrix inequalities algorithm.
The mode-dependent control gains are obtained by using an iterative linear matrix inequality (LMI) algorithm.
