Abstract: Neural networks (NNs) have gained significant popularity for modeling complex, nonlinear systems due to their powerful approximation capabilities. However, designing an appropriate network ...
The development of deep learning has motivated the advancement of unconventional computing that leverages analog physical systems such as analog electronics, spintronics, and photonics. These ...
Abstract: The adaptive neural network (NN) exact-optimal consensus fault tolerant control (FTC) problem is investigated for uncertain high-order nonlinear multiagent systems (NMASs) with intermittent ...
Nonlinear systems and networks theory is a branch of automatic control theory. It takes systems and networks described by nonlinear differential equations or difference equations as its research ...
Tea, a dating discussion app that recently suffered a high-profile cybersecurity breach, announced late Monday that some direct messages were also accessed in the incident. The app — designed to let ...
1 School of Mechanical and Electronic Engineering, Hubei Polytechnic University, Huangshi, China 2 Hubei Key Laboratory of Intelligent Conveying Technology and Device, Hubei Polytechnic University, ...
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