Distributed Input Design with Combination of System Identification and Reinforcement Learning
Author:
Affiliation:
1. Shanghai Jiao Tong University,The Dept. of Automation,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9986510/9986514/09987073.pdf?arnumber=9987073
Reference19 articles.
1. Subspace identification of individual systems in a large-scale heterogeneous network;yu;Automatica,2019
2. Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS)
3. Multi-agent reinforcement learning for networked system control;chu;ArXiv Preprint,2020
4. An Improved Subspace Identification Method with Variance Minimization and Input Design
5. Open-loop asymptotically efficient model reduction with the Steiglitz–McBride method
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