Your English writing platform
Discover LudwigSuggestions(5)
Exact(8)
The adaptive controller is designed by a linear matrix inequality approach.
A gain scheduling state feedback law is designed by a linear matrix inequality formulation.
It is shown that this least squares solution can be characterized by a linear matrix inequality minimization problem.
The controller design problem is transformed to a convex optimization problem, which can be solved by a linear matrix inequality (LMI) approach.
Our main contribution is to derive a description of the set of admissible finite-dimensional moment vectors by a linear matrix inequality.
The controller design problem is formulated as the feasibility of the convex optimization problem, which can be solved by a linear matrix inequality (LMI) approach.
Similar(52)
The contractive invariant set is estimated by an ellipsoid which is determined by solving a linear matrix inequality (LMI) optimization problem.
The regional pole placement is achieved by defining a linear matrix inequalities (LMI) region.
The numerical solution can be obtained efficiently by solving a linear matrix inequality (LMI).
The distributed MPC controller is determined by solving a linear matrix inequality (LMI) optimization problem.
The distributed MPC controller is designed by solving a linear matrix inequalities (LMIs) optimization problem.
More suggestions(15)
by a linear scale
by a guideline matrix
by a linear fit
by a consolidation matrix
by a linear program
by a linear response
by a dissimilarity matrix
by a linear hyperplane
by a linear seven-carbon
by a covariance matrix
by a linear transformation
by a linear scanning
by a linear transducer
by a measurement matrix
by a linear water methanol
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