Compensation-Based Cooperative MFAILC for Multiple Subway Trains Under Asynchronous Data Dropouts
Author:
Affiliation:
1. Advanced Control Systems Laboratory, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
2. School of Automation, Qingdao University, Qingdao, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/9972869/09889175.pdf?arnumber=9889175
Reference35 articles.
1. Model Free Adaptive Control
2. Cooperative MFAILC for Multiple Subway Trains With Actuator Faults and Actuator Saturation
3. Model Free Adaptive Iterative Learning Consensus Tracking Control for a Class of Nonlinear Multiagent Systems
4. Iterative Learning Model-Free Control for Networked Systems With Dual-Direction Data Dropouts and Actuator Faults
5. Iterative learning control approach for consensus of multi-agent systems with regular linear dynamics
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