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Adaptive RISE Control of Hydraulic Systems With Multilayer Neural-Networks

IEEE transactions on industrial electronics (1982. Print), 2019
This paper focuses on developing an advanced nonlinear controller for hydraulic system to achieve asymptotic tracking with various disturbances. To accomplish this study, a multilayer neural-networks (NNs) estimator is first developed to improve the ...
Zhikai Yao, Jianyong Yao, Weichao Sun
semanticscholar   +1 more source

Robust superconductivity in magic-angle multilayer graphene family

Nature Materials, 2022
J. Park   +6 more
semanticscholar   +1 more source

Bending of Multilayer van der Waals Materials.

Physical Review Letters, 2019
Out-of-plane deformation patterns, such as buckling, wrinkling, scrolling, and folding, formed by multilayer van der Waals materials have recently seen a surge of interest.
Guorui Wang   +8 more
semanticscholar   +1 more source

Highly stretchable multilayer electronic circuits using biphasic gallium-indium

Nature Materials, 2021
Shanliangzi Liu   +2 more
semanticscholar   +1 more source

Multilayer Graphene Epidermal Electronic Skin.

ACS Nano, 2018
Due to its excellent flexibility, graphene has an important application prospect in epidermal electronic sensors. However, there are drawbacks in current devices, such as sensitivity, range, lamination, and artistry.
Y. Qiao   +18 more
semanticscholar   +1 more source

Self-Organizing MultiLayer Perceptron

IEEE Transactions on Neural Networks, 2010
In this paper, we propose an extension of a self-organizing map called self-organizing multilayer perceptron (SOMLP) whose purpose is to achieve quantization of spaces of functions. Based on the use of multilayer perceptron networks, SOMLP comprises the unsupervised as well as supervised learning algorithms.
openaire   +3 more sources

Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling

IEEE Transactions on Geoscience and Remote Sensing, 2018
This paper proposes a new method, called multilayer stacked covariance pooling (MSCP), for remote sensing scene classification. The innovative contribution of the proposed method is that it is able to naturally combine multilayer feature maps, obtained ...
Nanjun He   +4 more
semanticscholar   +1 more source

Multilayer feedforward networks are universal approximators

Neural Networks, 1989
K. Hornik, M. Stinchcombe, H. White
semanticscholar   +1 more source

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