Results 21 to 30 of about 47,518 (218)
Sensors, 2021 This paper presents an optoelectronic receiver (Rx) IC with an on-chip avalanche photodiode (APD) realized in a 0.18-μm CMOS process for the applications of home-monitoring light detection and ranging (LiDAR) sensors, where the on-chip CMOS P+/N-well APD
Ji-Eun Joo, Myung-Jae Lee, Sung Min Park
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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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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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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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Multi-Mode Electric Actuator Dynamic Modelling for Missile Fin Control
Aerospace, 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
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IEEE AccessDC-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
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