Your English writing platform
Discover LudwigExact(54)
So using (41), the error state (40) reduces to: (42).
First, the reachability of an error state in the absence of timing constraints is computed.
Third, the state estimators are designed to guarantee the asymptotic stability of the error state system.
The converging rate of error state is relative to the corresponding dynamics of sliding surface.
Let the error state vector be (e k)=x k -hat{x}(k)).
Effectively we created an extended kalman Filter for the error state.
Similar(6)
The approach is based on the analysis of the system behaviour in the error state-space.
The conventional threshold-constraint density evolution guarantees that the degree profile converges asymptotically to the zero-error state at the given initial message mean.
The main objective is to show how to employ the bounded-error state estimation technique and some transformations of the system equations to form a new bounded-error unknown input observer.
(30) So the error-state system (25) is asymptotically stable.
(24) Therefore, the error-state system (3) is asymptotically stable.
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