Neural-Network-Based Adaptive Finite-Time Control for a Two-Degree-of-Freedom Helicopter System With an Event-Triggering Mechanism
Author:
Affiliation:
1. School of Mechanical and Electrical Engineering, Guangzhou University,Guangzhou,China,510006
2. School of Intelligence Science and Technology,China
3. IEEE,New York,USA,10016
Funder
National Natural Science Foundation of China
Korea Institute of Energy Technology Evaluation and Planning
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization
Link
http://xplorestaging.ieee.org/ielx7/6570654/10193878/10194236.pdf?arnumber=10194236
Reference38 articles.
1. Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems Under DoS Attacks
2. Neural-Network-Based Control for Discrete-Time Nonlinear Systems with Input Saturation Under Stochastic Communication Protocol
3. Adaptive Fuzzy Control for a Spatial Flexible Hose System with Dynamic Event-triggered Mechanism
4. Adaptive neural control for strict-feedback stochastic nonlinear systems with time-delay
5. A Switching Method to Event-Triggered Output Feedback Control for Unmanned Aerial Vehicles Over Cognitive Radio Networks
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