Single-network based adaptive dynamic programming optimal control for robotic manipulator with joint limitation under input saturation-Reference-Cited by-同舟云学术

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Single-network based adaptive dynamic programming optimal control for robotic manipulator with joint limitation under input saturation

Published:2024-06-28 Issue: Volume: Page:1-16
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Li Bin¹^ORCID,Zhan Hong¹,Zhang Xiuyu²,Yang Chenguang³

Affiliation:

1. School of Automation Science and Engineering, South China University of Technology, Guangzhou, People's Republic of China

2. School of Automation Engineering, Northeast Electric Power University, Jilin, People's Republic of China

3. Department of Computer Science, University of Liverpool, Liverpool, UK

Funder

National Nature Science Foundation of China

Guangdong Basic and Applied Basic Research Foundation

Industrial Key Technologies R&D Programme of Foshan

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2024.2370301

Reference26 articles.

1. Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach

2. CasADi: a software framework for nonlinear optimization and optimal control

3. A new optimized fuzzy FOPI-FOPD controller for automatic generation control of electric power systems

4. Bellman, R. (1953). An introduction to the theory of dynamic programming. Rand Corporation.

5. A novel actor–critic–identifier architecture for approximate optimal control of uncertain nonlinear systems

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