Your English writing platform
Free sign upSuggestions(5)
Exact(11)
The first one is based on the optimal H∞ control design using a linear matrix inequalities (LMI) technique.
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.
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.
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.
Similar(49)
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.
For the marker-based SPMMs, a genetic kernel matrix calculated using a linear kernel matrix incorporates only additive effects of markers.
A treatment to the problem is outlined in [31, 32] using a linear precoding matrix.
In particular, the signal x m (k) can be predicted from the signal x n (k) using a linear filter matrix W n,m such that: mathbf{x}_{m}(k) = mathbf{W}_{n,m}^{T} mathbf{x}_{n} k), quad m=1, 2, 3, ldots, N, (9). with W n,n =I L. The prediction matrices can be concatenated so as to form the L×N L matrix: mathbf{W}_{n} = left[mathbf{W}_{n,1}; mathbf{W}_{n,2}; ldots; mathbf{W}_{n,N} right], (10).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com