Switched Energy and Neural Network-Based Approach for Swing-Up and Tracking Control of Double Inverted Pendulum-Reference-Cited by-同舟云学术

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Switched Energy and Neural Network-Based Approach for Swing-Up and Tracking Control of Double Inverted Pendulum

Published:2023-09 Issue:9 Volume:53 Page:5536-5544
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Ping Zhaowu¹^ORCID,Xu Delai¹^ORCID,Tang Hao¹^ORCID,Ge Suoliang¹,Lu Jun-Guo²^ORCID,Wang Hai³^ORCID

Affiliation:

1. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China

2. Department of Automation, Shanghai Jiao Tong University, Shanghai, China

3. College of Science, Health, Engineering and Education, Murdoch University, Perth, WA, Australia

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6221021/10223302/10124954.pdf?arnumber=10124954

Reference54 articles.

1. Swing-up of the double pendulum on a cart by feedforward and feedback control with experimental validation

2. Analysis of the energy-based swing-up control for the double pendulum on a cart

3. Nonlinear Stabilizing Control for Ship-Mounted Cranes With Ship Roll and Heave Movements: Design, Analysis, and Experiments

4. Adaptive fuzzy switched swing-up and sliding control for the double-pendulum-and-cart system;tao;IEEE Trans Syst Man Cybern B Cybern,2010

5. Control of pendulum tracking (including swinging up) of IPC system using zeroing-gradient method

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