A Model-free Tracking Controller Based on the Newton-Raphson Method and Feedforward Neural Networks-Reference-Cited by-同舟云学术

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A Model-free Tracking Controller Based on the Newton-Raphson Method and Feedforward Neural Networks

Published:2022-06-08 Issue: Volume: Page:
ISSN:
Container-title:2022 American Control Conference (ACC)
language:
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Author:

Niu K.¹,Wardi Y.¹,Abdallah C. T.²,Hayajneh M.³

Affiliation:

1. Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA,30332

2. Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA,30318

3. United Arab Emirates University,College of Information Technology,Al-Ain,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867840.pdf?arnumber=9867840

Reference14 articles.

1. Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks

2. Control of a nonholonomic mobile robot using neural networks

3. Neural Network Controller for Mobile Robot Motion Control;velagic;International Journal of Electrical and Computer Engineering,2008

4. A Novel Design of a Neural Network-Based Fractional PID Controller for Mobile Robots Using Hybridized Fruit Fly and Particle Swarm Optimization

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Newton-Raphson Flow for Aggressive Quadrotor Tracking Control;2024 American Control Conference (ACC);2024-07-10

2. Tracking control by the Newton–Raphson method with output prediction and controller speedup;International Journal of Robust and Nonlinear Control;2023-09-03

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