An iterative Q-learning based global consensus of discrete-time saturated multi-agent systems-Reference-Cited by-同舟云学术

An iterative Q-learning based global consensus of discrete-time saturated multi-agent systems

Published:2019-10 Issue:10 Volume:29 Page:103127
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Long Mingkang¹,Su Housheng¹^ORCID,Wang Xiaoling²³,Jiang Guo-Ping²³,Wang Xiaofan⁴

Affiliation:

1. School of Artificial Intelligence and Automation, Image Processing and Intelligent Control Key Laboratory of Education Ministry of China, Huazhong University of Science and Technology, Wuhan 430074, China

2. School of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

3. Jiangsu Engineering Lab for IOT Intelligent Robots, Nanjing 210023, China

4. Department of Automation, Shanghai University, Shanghai 200072, China

Funder

National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5120106

Reference29 articles.

1. Synchronization of multi-agent systems with metric-topological interactions

2. Synchronization of stochastic hybrid oscillators driven by a common switching environment

3. Self-triggered leader-following consensus of multi-agent systems with input time delay

4. Swarming behaviors in multi-agent systems with nonlinear dynamics

5. Time-varying formation for linear multi-agent systems based on sampled data with multiple leaders

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