Paper Info
Title
Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints.
Abstract
In this paper, an event-triggered near optimal control structure is developed for nonlinear continuous-time systems with control constraints. Due to the saturating actuators, a nonquadratic cost function is introduced and the Hamilton-Jacobi-Bellman (HJB) equation for constrained nonlinear continuous-time systems is formulated. In order to solve the HJB equation, an actor-critic framework is prese...
Year
DOI
Venue
2017
10.1109/TNNLS.2016.2586303
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Optimal control,Nonlinear systems,Cost function,Neural networks,Adaptive systems,Dynamic programming
Hamilton–Jacobi–Bellman equation,Dynamic programming,Lyapunov function,Mathematical optimization,Nonlinear system,Optimal control,Adaptive system,Control theory,Computer science,Adaptive control,Bounded function
Journal
Volume
Issue
ISSN
28
8
2162-237X
Citations 
PageRank 
References 
23
0.66
22
Authors
4
Name
Order
Citations
PageRank
Lu Dong110710.38
Xiangnan Zhong234616.35
Changyin Sun32002157.17
Haibo He43653213.96