Event-Based Adaptive Neural Asymptotic Tracking Control for Networked Nonlinear Stochastic Systems
Author:
Affiliation:
1. College of Science, Liaoning University of Technology, Jinzhou, China
2. Institute of Complexity Science, Qingdao University, Qingdao, China
3. School of Electrical Engineering, Korea University, Seoul, Korea
Funder
Funds of National Science of China
Distinguished Young Scientific Research Talents Plan in Liaoning Province
Taishan Scholar Project of Shandong Province of China
National Research Foundation of Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/6488902/9808096/09740442.pdf?arnumber=9740442
Reference41 articles.
1. Adaptive Fuzzy Event-Triggered Control for Stochastic Nonlinear Systems With Full State Constraints and Actuator Faults
2. Model-Based Adaptive Event-Triggered Control of Strict-Feedback Nonlinear Systems
3. Observer-Based Fuzzy Adaptive Event-Triggered Control for Pure-Feedback Nonlinear Systems With Prescribed Performance
4. A Dynamic Periodic Event-Triggered Approach to Consensus of Heterogeneous Linear Multiagent Systems With Time-Varying Communication Delays
5. Decentralized event-triggered adaptive fuzzy control for nonlinear switched large-scale systems with input delay via command-filtered backstepping
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