Improved data driven model free adaptive constrained control for a solid oxide fuel cell-Reference-Cited by-同舟云学术

Improved data driven model free adaptive constrained control for a solid oxide fuel cell

Published:2016-08 Issue:12 Volume:10 Page:1412-1419
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Xu Dezhi¹,Jiang Bin²,Liu Fei¹

Affiliation:

1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Institute of Automation, Jiangnan UniversityWuxi214122JiangsuPeople's Republic of China

2. College of Automation Engineering, Nanjing University of Aeronautics and AstronauticsNo. 29, Yudao RoadNanjing210016People's Republic of China

Funder

National Natural Science Foundation of China

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/iet-cta.2015.0841

Reference31 articles.

1. FUEL CELLS: Reaching the Era of Clean and Efficient Power Generation in the Twenty-First Century

2. Three-dimensional and time-dependent simulation of a planar solid oxide fuel cell stack

3. Response of a solid oxide fuel cell to load change

Cited by 60 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. Improved Data-driven Adaptive Control Structure Against Input and Output Saturation;International Journal of Control, Automation and Systems;2024-08-31

2. Model-Free Adaptive Control Design for Unknown Nonlinear Systems with Input Constraints;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

3. Accurate data-driven sliding mode parking control for autonomous ground vehicles with efficient trajectory planning in dynamic industrial scenarios;Nonlinear Dynamics;2024-05-10

4. A comprehensive survey of artificial intelligence-based techniques for performance enhancement of solid oxide fuel cells: Test cases with debates;Artificial Intelligence Review;2024-02-03

5. Sofcs Integrated with Smes Under Dynamic Power Control Using Chernobyl Disaster Optimizer Algorithm;2024