Adaptive Predefined-Time Optimal Tracking Control for Underactuated Autonomous Underwater Vehicles  

作　　者：Kewen Li Yongming Li 

机构地区：[1]College of Engineering,Qufu Normal University,Rizhao 276826,China [2]College of Science,Liaoning University of Technology,Jinzhou 121000,China

出　　处：《IEEE/CAA Journal of Automatica Sinica》2023年第4期1083-1085,共3页自动化学报（英文版）

基　　金：This work was supported by the National Nat-ural Science Foundation(NNSF)of China(61822307).

摘　　要：Dear Editor,This letter concentrated on the adaptive predefined-time optimal tracking control for underactuated autonomous underwater vehicles(AUVs).According to adaptive dynamic programming(ADP)with actor-critic neural networks(NNs),by constructing a novel barriertype cost function,an adaptive predefined-time optimal constraint control approach was developed.

关 键 词：NETWORKS NEURAL OPTIMAL 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置] TP273[自动化与计算机技术—控制科学与工程]