Your English writing platform
Discover LudwigSimilar(60)
Simulations for a two-inputs two-outputs plant highlight the effectiveness of the approach.
First, a non-delayed output plant is predicted.
The High Output Plant system (Hops) train - which the Queen named "Brunel" after the great Victorian engineer - has been dubbed a "factory on wheels".
We recall that parametric cyber-physical adversaries are able to identify the system model parameters from the input and the output plant signals.
A dynamic neural network based algorithm for learning control of an unknown nonlinear continuous-time multiple-input-multiple-output plant with unmeasurable states is proposed in this paper.
Through the Lyapunov stability analysis, the network weight adaptation rule is derived, and guarantees the minimum error between the neuro output and plant output.
Both the robust stability and robust performance of multi-input single-output plants are considered.
The robust stability of single-input multi-output plants is also considered.
However, the method by Yamada et al. cannot be applied to multiple-input/multiple-output plants.
A simple controller synthesis method is developed for certain classes of linear, time-invariant, multi-input multi-output plants.
It is shown that a class of linear, time-invariant, multi-input multi-output plants can be simultaneously stabilized.
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