Paper Info
Title
Event-Triggered Adaptive Dynamic Programming for Unmatched Uncertain Nonlinear Continuous-Time Systems.
Abstract
In this article, an event-triggered adaptive dynamic programming (ADP) method is proposed to solve the robust control problem of unmatched uncertain systems. First, the robust control problem with unmatched uncertainties is transformed into the optimal control design for an auxiliary system. Subsequently, to reduce controller executions and save computational and communication resources, an event-...
Year
DOI
Venue
2021
10.1109/TNNLS.2020.3009015
IEEE Transactions on Neural Networks and Learning Systems
Keywords
DocType
Volume
Uncertainty,Artificial neural networks,Robustness,Mathematical model,Dynamic programming,Robust control,Optimal control
Journal
32
Issue
ISSN
Citations 
7
2162-237X
1
PageRank 
References 
Authors
0.34
16
3
Name
Order
Citations
PageRank
Shan Xue15111.69
Biao Luo255423.80
Derong Liu35457286.88