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By transforming the errors into new virtual error variables, and based on DSC backstepping design technique and changing supply function, a new robust adaptive fuzzy output feedback control scheme is developed.
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The stability of the non-linear error dynamic is analysed by transforming the error dynamic into a Linear Parameter Varying (LPV) system.
By transforming the synchronization error dynamics into an equivalent passive system, a synchronization control law with time-varying gains is achieved and the convergence of the synchronization errors is guaranteed.
By transforming the dynamics of the synchronization error into the canonical form, a robust adaptive stabilization technique with least prior knowledge is used to stabilize the discrepancy system at the origin.
It transforms itself by transforming the world.
Here, by transforming the perceptron learning rule, we present an online learning rule for a recurrent neural network that achieves near-maximal storage capacity without an explicit supervisory error signal, relying only upon locally accessible information.
By using the direct design method, a controller is designed to transform the error system into a nonlinear system with the special antisymmetric structure.
The main idea is to transform the error equation of objective system with its extended state observer into a asymptotical stable system with a small disturbance, for which the effect of total disturbance error is eliminated by the high-gain.
A learner appears to improve by knowing the discrepancy between a response he has made and the response required of him; but, in experimental practice, the investigator manipulates behaviour by transforming functions of error.
Randomization can transform the systematic errors into random errors in MDOE tests, which can be eliminated.
Transform the world by transforming entertainment and the media.
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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