Your English writing platform
Discover LudwigSuggestions(2)
Exact(6)
This paper considers the multiobjective integrated design of fault detection systems for linear time-invariant systems with unknown inputs.
Much research on designing self-tuning control systems for linear systems have been proposed by using the least squares parameter identification method.
This paper deals with problems related to designing fault detection systems for linear uncertain systems, where model uncertainties are characterised by stochastic changes in the model parameters.
In this paper, problems related to the integrated design of fault detection (FD) systems for linear dynamic systems with deterministic and stochastic disturbances are studied.
This paper considers gain-scheduled approximate inverse systems for Linear Parameter-Varying (LPV) systems, and proposes a method for their design using parameter-dependent Lyapunov functions via parametrically affine Linear Matrix Inequalities (LMIs).
Therefore, in contrast to nonlinear systems, for linear systems, the concept of a stable system (exponentially stable system) is meaningful.
Similar(54)
For nonlinear systems, or for linear systems with non-sinusoidal inputs, (17) does no longer provide an appropriate definition of the impedance function.
To introduce a noninvasive eye fixation and computer-aided eye monitoring system for linear accelerator-based stereotactic radiotherapy for uveal melanoma.
Besides conforming FEM for non-symmetric PDEs (Section 6.1), we consider nonconforming and mixed FEM for the Stokes system (Sections 6.2 and 6.3) as well as mixed FEM for the Lamé system for linear elasticity (Section 6.4).
In this note we address the problems of obtaining guaranteed and as good as possible estimates of system parameters for linear discrete time systems subject to bounded disturbances.
Our own implementation of the named entity recognizer for IUPAC terms is based on MALLET (McCallum, 2002), a widely used and successfully applied system for linear-chain CRF.
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