Model-Free Adaptive Iterative Learning From Communicable Agents for Nonlinear Networks Consensus
Author:
Affiliation:
1. College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China
Funder
National Natural Science Foundation of China
Talent Introduction and Cultivation Plan for Youth Innovation of Universities in Shandong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6884276/10040263/10174693.pdf?arnumber=10174693
Reference37 articles.
1. On Consensus Algorithms for Double-Integrator Dynamics
2. 3-D Learning-Enhanced Adaptive ILC for Iteration-Varying Formation Tasks
3. Tracking control for multi-agent consensus with an active leader and variable topology
4. Adjacent-Agent Dynamic Linearization-Based Iterative Learning Formation Control
5. A Necessary and Sufficient Condition for Consensus Over Random Networks
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