Fast and low‐frequency adaptation in neural network control-Reference-Cited by-同舟云学术

Fast and low‐frequency adaptation in neural network control

Published:2014-11 Issue:17 Volume:8 Page:2062-2069
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Pan Yongping¹,Gao Qin²^ORCID,Yu Haoyong¹

Affiliation:

1. Department of Biomedical EngineeringNational University of SingaporeSingapore117575Singapore

2. School of Engineering and Information Technology, University of New South Wales, Canberra at the Australian Defence Force AcademyNorthcott DriveCampbellACT2600Australia

Funder

National University of Singapore

Agency for Science, Technology and Research

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2014.0449

Reference32 articles.

1. Adaptive Approximation Based Control

2. Neural-Network-Based Decentralized Adaptive Control for a Class of Large-Scale Nonlinear Systems With Unknown Time-Varying Delays

3. Adaptive neural control for a class of switched nonlinear systems

4. Adaptive neural control for uncertain systems subject to actuator failure

5. Adaptive Output Feedback NN Control of a Class of Discrete-Time MIMO Nonlinear Systems With Unknown Control Directions

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