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The control strategy of the STATCOM uses a Linear Matrix Inequalities (LMIs) approach to regulate the currents injected or absorbed by the inverter.
To achieve this goal, the paper proposes an automatic process for computerized tuning of PSSs, which is based on an iterative process that uses a linear matrix inequality (LMI) solver to find the PSS parameters.
Similar(58)
The first one is based on the optimal H∞ control design using a linear matrix inequalities (LMI) technique.
The main objective is to design overlapping guaranteed cost controllers with tridiagonal gain matrices for these kind of systems by using a linear matrix inequality (LMI) approach.
Under the construction of the FO control system, a robust stability condition and the parameters of the controller are derived using a linear matrix inequality based method.
Dynamic operability is then quantified using a linear matrix inequality (LMI) optimisation approach that minimises a given performance criterion subject to the constraint imposed by the static nonlinearities.
This paper describes the merits of robust damping controllers designed using a Linear Matrix Inequality (LMI) approach as compared to conventional Root-locus technique.
This paper deals with the H∞ stabilization of the spatial distribution of the current profile of tokamak plasmas using a Linear Matrix Inequality (LMI) approach.
In this paper, using a linear matrix inequality and a differential inequality, we obtain an exponentially robust stability criterion for interval fuzzy Cohen Grossberg type neural networks with time-varying delays.
A general framework is established to solve the addressed multiobjective problem by using a linear matrix inequality (LMI) approach, where the required stability, the H∞ characterization and variance constraints are all easily enforced.
For a linear discrete time 2-D system described by a 2-D state-space Roesser model, a 2-D dynamic output feedback controller is designed to achieve the closed-loop system asymptotic stability and a specified H∞ performance using a linear matrix inequality (LMI) approach.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com