Integral Sliding Mode Trajectory Tracking Control for UG Based on RBF Neural Network Observer
Author:
Affiliation:
1. School of Electrical and Information Engineering, Tianjin University,Tianjin,P. R. China,300072
Funder
National Natural Science Foundation (NNSF) of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240898.pdf?arnumber=10240898
Reference22 articles.
1. Observer-based adaptive neural network control for nonlinear systems in nonstrict-feedback form;bing;IEEE,2016
2. Neural-network-based terminal sliding-mode control for thrust regulation of a tethered space-tug
3. Research on dynamic behavior and control strategy of hybrid driven underwater autonomous vehicle;wang;Tianjin University,2009
4. Incremental reinforcement learning flight control with adaptive learning rate;liu;Acta Areonautica et Astronautica Sinica,2022
5. Neural‐network‐based online optimal control for uncertain non‐linear continuous‐time systems with control constraints
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