Your English writing platform
Discover LudwigSuggestions(5)
Exact(2)
The linear matrix inequality formalism is used in this paper.
Results are derived with linear matrix inequality formalism and involve up-to-date slack-variables approach.
Similar(58)
Moreover, these sufficient conditions are all in linear matrix inequality (LMI) formalism, which makes their resolution easy.
The adopted framework to prove the stability of the observer is based on the Lyapunov theory and use linear matrix inequality (LMI) formalism.
The adopted framework is based on the Lyapunov theory and uses the Linear Matrix Inequalities (LMI) formalism.
This paper proposes a novel robust predictive control synthesis technique for constrained nonlinear systems based on linear matrix inequalities (LMIs) formalism.
In the proposed approach, Linear Matrix Inequalities (LMI) formalism is used to check if the pseudo-state matrix eigenvalues belong to the FOS stability region of the complex plane.
In the proposed approach, Linear Matrix Inequalities (LMI) formalism is used to check if the pseudo-state matrix eigenvalues belong to the FOS stability domain whatever the value of the uncertain parameters.
The condition takes the form of a linear matrix inequality.
A strict linear matrix inequality (LMI) design approach is developed.
This design problem becomes a linear matrix inequality (LMI) problem.
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