Adaptive Neural Networks Decentralized FTC Design for Nonstrict-Feedback Nonlinear Interconnected Large-Scale Systems Against Actuator Faults

2017 ◽  
Vol 28 (11) ◽  
pp. 2541-2554 ◽  
Author(s):  
Yongming Li ◽  
Shaocheng Tong
Keyword(s):  
Neural Networks ◽  
Large Scale ◽  
Actuator Faults ◽  
Large Scale Systems ◽  
Adaptive Neural Networks

scholarly journals Extensive deep neural networks for transferring small scale learning to large scale systems

2019 ◽  
Vol 10 (15) ◽  
pp. 4129-4140 ◽  
Author(s):  
Kyle Mills ◽  
Kevin Ryczko ◽  
Iryna Luchak ◽  
Adam Domurad ◽  
Chris Beeler ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Large Scale ◽  
Deep Neural Network ◽  
Deep Neural Networks ◽  
Small Scale ◽  
Large Scale Systems ◽  
Energy Entropy ◽  
Large Systems ◽  
Number Of Particles

We present a physically-motivated topology of a deep neural network that can efficiently infer extensive parameters (such as energy, entropy, or number of particles) of arbitrarily large systems, doing so with scaling.

Finite‐time boundedness of large‐scale systems with actuator faults and gain fluctuations

2019 ◽  
Vol 29 (10) ◽  
pp. 3042-3062 ◽  
Author(s):  
V. Tharanidharan ◽  
R. Sakthivel ◽  
B. Kaviarasan ◽  
Faris Alzahrani ◽  
S. Marshal Anthoni
Keyword(s):  
Finite Time ◽  
Large Scale ◽  
Actuator Faults ◽  
Large Scale Systems ◽  
Finite Time Boundedness
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