Results 31 to 40 of about 88,757 (305)
The Journal of Engineering, 2018 This study concerns adaptive feedforward and hybrid (combined feedback and feedforward) control systems for active vibration suppression of smart flexible beam with a tip mass.
Xiaopeng Wang +4 more
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IEEE Access, 2020 A smart city is a sustainable and effective metropolitan hub, that offers its residents high excellence of life through appropriate resource management.
Sagheer Abbas +7 more
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Optimal Placement of Sensors and Actuators for Feedforward Noise and Vibration Control [PDF]
, 2016 Active systems for noise and vibration control have been under investigation for more than three decades now. It is well-known that the placement of both sensor and actuator is of crucial importance for the achievement of a reasonable noise and ...
Thomas Haase, Haase, Thomas
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Cell Reports, 2018 Excitation and inhibition are highly specific in the cortex, with distinct synaptic connections made onto subtypes of projection neurons. The functional consequences of this selective connectivity depend on both synaptic strength and the intrinsic ...
Paul G. Anastasiades +2 more
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Extending stability through hierarchical clusters in Echo State Networks
Frontiers 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
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The 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
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Adaptive Neural Network Feedforward Control for Dynamically Substructured Systems [PDF]
, 2014 (c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Ren, Xuemei +10 more
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Prediction of Convergence Dynamics of Design Performance using Differential Recurrent Neural Networks [PDF]
, 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 +12 more
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Finding feedforward configurations using gramian based interaction measures [PDF]
Modeling, 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
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Enhanced HMAX model with feedforward feature learning for multiclass categorization
Frontiers 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
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