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Hierarchical recurrent temporal prediction as a model of the mammalian dorsal visual pathway. [PDF]
PLoS Comput BiolKlavinskis-Whiting S +2 more
europepmc +1 more source
Role of fast-spiking interneurons in modulating across-trial variability and within-trial correlations in the striatum. [PDF]
PLoS Comput BiolGuo L, Kumar A.
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Performance indices for feedforward control
Journal of Process Control, 2015 In this paper, a performance benchmark for the assessment of two feedforward control architectures for the load disturbance compensation problem is proposed.
J L Guzman +2 more
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Predictive feedforward control
2016 12th IEEE International Conference on Control and Automation (ICCA), 2016Measurable but controllable disturbances are common in industry, which drive systems away from their references and take time for feedback control to reject them, especially when the systems present input-output delays due to mechanical properties. In this paper, a novel feedforward control based on disturbance prediction is proposed.
Xian Li +4 more
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Approximate feedforward control
2015 10th Asian Control Conference (ASCC), 2015Disturbances are inevitable in most control systems. They drive the systems away from their set points. It takes time for feedback control to reject them. The feedforward control offers great potentials for regulation performance if the disturbances are measurable.
Xian Li, Qing-Guo Wang, Wen-Jian Cai
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On the equivalence to feedforward forms
2003 European Control Conference (ECC), 2003The problem of (local) coordinates and feedback equivalence of single-input affine nonlinear systems to feedforward forms is studied and solved. The general theory is applied to linear systems, and is illustrated through a simple four dimensional example describing the dynamics of a food-chain.
Georgia Kaliora, Alessandro Astolfi
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‘Feedback’ and ‘Feedforward’ Conditioning Techniques
European Journal of Control, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Raymond Hanus, Philippe Bogaerts
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2006
The paper presents an approach to construction of hierarchical structures of data based concepts (granules), extending the idea of feedforward neural networks. The operations of processing the concept information and changing the concept specification through the network layers are discussed.
Dominik Slezak +2 more
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The paper presents an approach to construction of hierarchical structures of data based concepts (granules), extending the idea of feedforward neural networks. The operations of processing the concept information and changing the concept specification through the network layers are discussed.
Dominik Slezak +2 more
openaire +2 more sources
IFAC Proceedings Volumes, 2009
Abstract Abstract This paper demonstrates how feedforward control can assist in stabilizing unstable systems. Feedback control is necessary for stabilization, but feedforward can be used to avoid input constraints which would otherwise cause the system to go unstable.
Morten Hovd, Robert R. Bitmead
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Abstract Abstract This paper demonstrates how feedforward control can assist in stabilizing unstable systems. Feedback control is necessary for stabilization, but feedforward can be used to avoid input constraints which would otherwise cause the system to go unstable.
Morten Hovd, Robert R. Bitmead
openaire +1 more source