T-S fuzzy model based event-triggered change control for product and supply chain systems-Reference-Cited by-同舟云学术

T-S fuzzy model based event-triggered change control for product and supply chain systems

Published:2023-11 Issue:3 Volume:55 Page:426-439
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Wei Zhibo¹,Liu Yongze¹,Wu Yingnian¹²³^ORCID,Chen Wenbai¹,Li Qing-Kui¹²^ORCID

Affiliation:

1. School of Automation, Beijing Information Science and Technology University, Beijing, People's Republic of China

2. Institute of Intelligent Networked Things and Cooperative Control, Beijing Information Science and Technology University, Beijing, People's Republic of China

3. Intelligent Perception and Control of High-End Equipment Beijing International Science and Technology Cooperation Base, Beijing Information Science and Technology University, Beijing, People's Republic of China

Funder

National Key Research and Development Program of China

Major Research plan of the National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2023.2272302

Reference34 articles.

1. Event-based networked control and scheduling codesign with guaranteed performance

2. Allocation flexibility for agribusiness supply chains under market demand disruption

3. Predicting Change Propagation in Complex Design

4. On the equivalence of control theoretic, differential, and difference equation approaches to modeling supply chains

5. Output-Based Event-Triggered Control With Guaranteed ${\cal L}_{\infty}$-Gain and Improved and Decentralized Event-Triggering

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