Paper Info
Title
Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems.
Abstract
This paper presents the design of a novel adaptive event-triggered control method based on the heuristic dynamic programming (HDP) technique for nonlinear discrete-time systems with unknown system dynamics. In the proposed method, the control law is only updated when the event-triggered condition is violated. Compared with the periodic updates in the traditional adaptive dynamic programming (ADP) ...
Year
DOI
Venue
2017
10.1109/TNNLS.2016.2541020
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Discrete-time systems,Dynamic programming,Neural networks,System dynamics,Optimal control,Stability analysis
Control theory,Mathematical optimization,State vector,Optimal control,Computer science,Control theory,Discrete event dynamic system,Lyapunov stability,System dynamics,Discrete time and continuous time,Adaptive control
Journal
Volume
Issue
ISSN
28
7
2162-237X
Citations 
PageRank 
References 
30
0.78
24
Authors
4
Name
Order
Citations
PageRank
Lu Dong110710.38
Xiangnan Zhong234616.35
Changyin Sun32002157.17
Haibo He43653213.96