Reinforcement learning neural-network-based controller for nonlinear discrete-time systems with input constraints

Pingan He; Jagannathan Sarangapani

doi:10.1109/TSMCB.2006.883869

Reinforcement learning neural-network-based controller for nonlinear discrete-time systems with input constraints

Pingan He
, Jagannathan Sarangapani

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	425-436
Number of pages	12
Journal	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume	37
Issue number	2
DOIs	https://doi.org/10.1109/TSMCB.2006.883869
State	Published - Apr 2007

ASJC Scopus Subject Areas

Control and Systems Engineering
Software
Information Systems
Human-Computer Interaction
Computer Science Applications
Electrical and Electronic Engineering

Keywords

Approximate dynamic programming
Neural network control
Optimal control
Reinforcement learning

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10.1109/TSMCB.2006.883869

Cite this

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keywords = "Approximate dynamic programming, Neural network control, Optimal control, Reinforcement learning",

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AU - Sarangapani, Jagannathan

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KW - Approximate dynamic programming

KW - Neural network control

KW - Optimal control

KW - Reinforcement learning

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JO - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

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Reinforcement learning neural-network-based controller for nonlinear discrete-time systems with input constraints

ASJC Scopus Subject Areas

Keywords

Access to Document

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