Model-Based and Data-Driven Control of Event- and Self-Triggered Discrete-Time Linear Systems-Reference-Cited by-同舟云学术

Model-Based and Data-Driven Control of Event- and Self-Triggered Discrete-Time Linear Systems

Published:2023-09 Issue:9 Volume:53 Page:6066-6079
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Wang Xin¹^ORCID,Berberich Julian²^ORCID,Sun Jian¹^ORCID,Wang Gang¹^ORCID,Allgöwer Frank²^ORCID,Chen Jie³^ORCID

Affiliation:

1. National Key Laboratory of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing, China

2. Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany

3. Department of Control Science and Engineering, Tongji University, Shanghai, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

Shanghai Municipal Commission of Science and Technology Project

Deutsche Forschungsgemeinschaft

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6221036/10223305/10147364.pdf?arnumber=10147364

Reference52 articles.

1. Adaptive event-triggered control for nonlinear discrete-time systems

2. From self-tuning regulators to reinforcement learning and back again

3. From model-based control to data-driven control: Survey, classification and perspective

4. Data-driven consensus control of fully distributed event-triggered multi-agent systems

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