Neural Adaptive Quantitative Prescribed Performance Sectionalized Event-Triggered Control for Autonomous Underwater Vehicles
Author:
Affiliation:
1. Department of Automation, Shanghai Jiao Tong University, Shanghai, China
2. Intelligent Biomimetic Design Laboratory, Peking University, Beijing, China
Funder
Hainan Province Science and Technology Special Fund
Key Research and Development Program of Guangdong
National Natural Science Foundation of China
Shanghai Sailing Program
Stable Supporting Fund of Science and Technology on Underwater Vehicle Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10271405/10155286.pdf?arnumber=10155286
Reference40 articles.
1. Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance
2. Adaptive Neural Control for a Class of Pure-Feedback Nonlinear Systems via Dynamic Surface Technique
3. Non-Linear Bandwidth Extended-State-Observer Based Non-Smooth Funnel Control for Motor-Drive Servo Systems
4. Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain Approach
5. Adaptive prescribed performance control of nonlinear asymmetric input saturated systems with application to AUVs
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