Optimal control of nonlinear discrete time-varying systems using a new neural network approximation structure-Reference-Cited by-同舟云学术

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Optimal control of nonlinear discrete time-varying systems using a new neural network approximation structure

Published:2015-05 Issue: Volume:156 Page:157-165
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Kiumarsi Bahare,Lewis Frank L.,Levine Daniel S.

Funder

NSF

ONR

ARO

China NNSF

China Education Ministry Project 111

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference43 articles.

1. Discrete-time nonlinear HJB solution using approximate dynamic programming: convergence proof;Al-Tamimi;IEEE Trans. Syst. Man Cybern. Part B: Cybern.,2008

2. Neural-network-based near-optimal control for a class of discrete-time affine nonlinear systems with control constraints;Zhang;IEEE Trans. Neural Netw.,2009

3. Online actor–critic algorithm to solve the continuous-time infinite horizon optimal control problem;Vamvoudakis;Automatica,2010

4. Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems;Modares;Automatica,2014

5. A self-learning call admission control scheme for CDMA cellular networks;Liu;IEEE Trans. Neural Netw.,2005

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