Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes-Reference-Cited by-同舟云学术

Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes

Published:2021-12-14 Issue: Volume: Page:
ISSN:
Container-title:2021 60th IEEE Conference on Decision and Control (CDC)
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Author:

Yang Zewen,Sosnowski Stefan,Liu Qingchen,Jiao Junjie,Lederer Armin,Hirche Sandra

Funder

European Commission

European Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9682670/9682776/09683522.pdf?arnumber=9683522

Reference22 articles.

1. Optimal Tracking Control of Nonlinear Multiagent Systems Using Internal Reinforce Q-Learning

2. Feedback Linearization Based on Gaussian Processes With Event-Triggered Online Learning

3. Uniform error bounds for Gaussian process regression with application to safe control;lederer;Advances in neural information processing systems,2019

4. Gaussian process decentralized data fusion meets transfer learning in large-scale distributed cooperative perception;ouyang;Proceedings of the AAAI Conference on Artificial Intelligence,2018

5. Exact gaussian process regression with distributed computations

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4. Cooperative Control of Uncertain Multiagent Systems via Distributed Gaussian Processes;IEEE Transactions on Automatic Control;2023-05

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