Adaptive neural network control of a non‐linear two‐degree‐of‐freedom helicopter system with prescribed performance-Reference-Cited by-同舟云学术

Adaptive neural network control of a non‐linear two‐degree‐of‐freedom helicopter system with prescribed performance

Published:2022-10-20 Issue: Volume: Page:
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Ma Ge¹,Wu Huiyuan¹,Zhao Zhijia¹^ORCID,Zou Tao¹,Hong Keum‐Shik²^ORCID

Affiliation:

1. School of Mechanical and Electrical Engineering Guangzhou University Guangzhou China

2. School of Mechanical Engineering Pusan National University Busan South Korea

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cth2.12379

Reference46 articles.

1. Iterative Learning Control for a Flapping Wing Micro Aerial Vehicle Under Distributed Disturbances

2. Extended state observer‐based sliding mode fault‐tolerant control for unmanned autonomous helicopter with wind gusts

3. Dynamical Modeling and Boundary Vibration Control of a Rigid-Flexible Wing System

4. Robust tracking control of quadrotor based on flatness and active disturbance rejection control

5. Intelligent leader‐following consensus formation control using recurrent neural networks for small‐size unmanned helicopters;Kuo C.‐W.;IEEE Trans. Syst. Man Cybern. Syst.,2021

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1. Adaptive neural network control of a 2-DOF helicopter system considering input constraints and global prescribed performance;Science China Information Sciences;2024-06-25

2. Neural-Network-Based Adaptive Fixed-Time Control for a 2-DOF Helicopter System With Input Quantization and Output Constraints;IEEE Transactions on Neural Networks and Learning Systems;2024