Paper Info
Title
An Event-Triggered ADP Control Approach for Continuous-Time System With Unknown Internal States.
Abstract
This paper proposes a novel event-triggered adaptive dynamic programming (ADP) control method for nonlinear continuous-time system with unknown internal states. Comparing with the traditional ADP design with a fixed sample period, the event-triggered method samples the state and updates the controller only when it is necessary. Therefore, the computation cost and transmission load are reduced. Usu...
Year
DOI
Venue
2017
10.1109/TCYB.2016.2523878
IEEE Transactions on Cybernetics
Keywords
Field
DocType
Observers,Performance analysis,Stability analysis,Optimal control,Nonlinear dynamical systems,Neural networks,Control design
Dynamic programming,Lyapunov function,Control theory,Optimal control,Nonlinear system,Computer science,Control theory,Artificial neural network,Observer (quantum physics),Sliding mode control
Journal
Volume
Issue
ISSN
47
3
2168-2267
Citations 
PageRank 
References 
54
1.17
24
Authors
2
Name
Order
Citations
PageRank
Xiangnan Zhong134616.35
Haibo He23653213.96