Long Short-Term Memory for Improved Transients in Neural Network Adaptive Control
Author:
Affiliation:
1. Bilkent University,Department of Mechanical Engineering,Ankara,Turkey,06800
2. Bilkent University,Department of Computer Engineering,Ankara,Turkey,06800
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10155646/10155787/10155805.pdf?arnumber=10155805
Reference14 articles.
1. Understanding the difficulty of training deep feedforward neural networks;glorot;Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics JMLR Workshop and Conference Proceedings,2010
2. Hybrid Sensor-Based Backstepping Control Approach with Its Application to Fault-Tolerant Flight Control
3. Adam: A method for stochastic optimization;kingma,2014
4. Robust Adaptive Control
5. Neural network adaptive control with long short-term memory;inanc,2023
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1. Lyapunov-Based Long Short-Term Memory (Lb-LSTM) Neural Network-Based Adaptive Observer;IEEE Control Systems Letters;2024
2. Lyapunov-Based Physics-Informed Long Short-Term Memory (LSTM) Neural Network-Based Adaptive Control;IEEE Control Systems Letters;2024
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