Results 21 to 30 of about 76,073 (214)

Extending stability through hierarchical clusters in Echo State Networks

open access: yesFrontiers in Neuroinformatics, 2010
Echo State Networks (ESN) are reservoir networks that satisfy well-established criteria for stability when constructed as feedforward networks. Recent evidence suggests that stability criteria are altered in the presence of reservoir substructures, such ...
Sarah Jarvis   +5 more
doaj   +1 more source

Finite-time composite control scheme for three-phase four-leg inverter under variable operating conditions

open access: yesThe Journal of Engineering, 2019
Three-phase four-leg inverters widely used in microgrid can effectively provide the power for the non-linear/unbalanced loads. Here, the non-linear composite controller is proposed for three-phase four-leg inverter system under [inline-formula] reference
Yuge Sun   +3 more
doaj   +1 more source

Finding feedforward configurations using gramian based interaction measures [PDF]

open access: yesModeling, Identification and Control, 2021
A sparse control structure can be seen as a decentralised controller that is expanded to include feedforward or MIMO blocks. Here, use of the gramian based interaction measures to determine a sparse control structure with feedforward is examined.
Fredrik Bengtsson, Torsten Wik
doaj   +1 more source

Prediction of Convergence Dynamics of Design Performance using Differential Recurrent Neural Networks [PDF]

open access: yes, 2008
Computational Fluid Dynamics (CFD) simulations have been extensively used in many aerodynamic design optimization problems, such as wing and turbine blade shape design optimization.
Sendhoff, Bernhard   +7 more
core   +1 more source

Enhanced HMAX model with feedforward feature learning for multiclass categorization

open access: yesFrontiers in Computational Neuroscience, 2015
In recent years, the interdisciplinary research between neuroscience and computer vision has promoted the development in both fields. Many biologically inspired visual models are proposed, and among them, the Hierarchical Max-pooling model (HMAX) is a ...
Yinlin eLi   +3 more
doaj   +1 more source

Feedforward inhibition and synaptic scaling - two sides of the same coin?

open access: yes, 2012
Feedforward inhibition and synaptic scaling are important adaptive processes that control the total input a neuron can receive from its afferents. While often studied in isolation, the two have been reported to co-occur in various brain regions.
Cristina Savin   +11 more
core   +1 more source

Multi-Mode Electric Actuator Dynamic Modelling for Missile Fin Control

open access: yesAerospace, 2017
Linear first/second order fin direct current (DC) actuator model approximations for missile applications are currently limited to angular position and angular velocity state variables.
Bhimashankar Gurav   +3 more
doaj   +1 more source

Microsatellite Uncertainty Control Using Deterministic Artificial Intelligence

open access: yesSensors, 2022
This manuscript explores the applications of deterministic artificial intelligence (DAI) in a space environment in response to unknown sensor noise and sudden changes in craft physical parameters.
Evan Wilt, Timothy Sands
doaj   +1 more source

Ruolo del feedforward nell'apprendimento di task motori [PDF]

open access: yes, 2022
Lo scopo di questo studio è quello di investigare gli effetti che il feedforward potrebbe portare nell’esecuzione di alcuni movimenti riabilitativi da parte dei pazienti, si è cercato inoltre di fare chiarezza riguardo le specifiche dei modelli di ...
Callegaro, Daniel
core  

Enhanced Dynamic Regulation in Buck Converters: Integrating Input-Voltage Feedforward With Voltage-Mode Feedback

open access: yesIEEE Access
DC-DC buck converters in automotive and aerospace applications are often required to handle large disturbances in their input supply and abrupt variations in their loads. This paper proposes a systematic method to combine input-voltage feedforward (IVFF)
Mostafa Amer   +7 more
doaj   +1 more source

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