Your English writing platform
Discover LudwigSuggestions(5)
Exact(2)
First, the original system is transformed into a new defined system by a linear state transformation.
Interestingly, for the considered type of systems a Kalman decomposition can be achieved by a linear state space transformation that is additionally independent of the systems parametrization or the choice of input and output variables.
Similar(58)
In the design, by using a linear state transformation, the unknown control coefficient and the unknown slope characteristic of the dead-zone are lumped together, and the original system is transformed to a new system.
We present a software configurable and parallelized coprocessor architecture for LQR control that can control physical processes representable by a linear state-space model.
This issue is also addressed in this paper by showing how a linear state space model can be derived from the extracted nonlinear state space model.
The Kalman filter (KF) recursively estimates the optimal state of a linear state space system driven by Gaussian noise by minimizing the MSE [12].
It is shown that the optimal performance level can be achieved by a piecewise linear state feedback control law, and a systematic approach is proposed to design such feedback control.
It is basically composed by a saturated linear state feedback (inductor current and output voltage) plus an output voltage integral feedback to remove steady-state offset.
It is shown that the optimal performance level can be achieved by a piecewise linear state feedback control law for the linear hybrid systems, and a systematic approach to design such feedback control is proposed.
The progress curve is well described by a single exponential phase followed by a linear steady state.
A burst of NADH production is also observed when the CpIMPDH reaction is monitored by fluorescence, and again the progress curve is well described by a single exponential burst phase followed by a linear steady state.
More suggestions(15)
by a linear increase
by a linear decrease
by a linear regression
by a linear fit
by a linear accelerator
by a linear trend
by a linear extrapolation
by a linear spring
by a linear controller
by a linear equation
by a linear combination
by a linear filter
by a linear gradient
by a linear correlation
by a linear dependence
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