Adaptive neural tracking control for a class of non‐lower triangular non‐linear systems with dead zone and unmodelled dynamics-Reference-Cited by-同舟云学术

Adaptive neural tracking control for a class of non‐lower triangular non‐linear systems with dead zone and unmodelled dynamics

Published:2019-03 Issue:5 Volume:13 Page:672-682
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Wang Xinjun¹,Wu Qinghui²,Wang Hongjie¹,Yin Xinghui¹

Affiliation:

1. College of Computer and Information, Hohai UniversityNanjing211100People's Republic of China

2. College of Engineering, Bohai UniversityJinzhou121013People's Republic of China

Funder

National Natural Science Foundation of China

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.2018.5353

Reference58 articles.

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2. Model Predictive Control for Reference Tracking on an Industrial Machine Tool Servo Drive

3. Backstepping Control for Nonlinear Systems With Time Delays and Applications to Chemical Reactor Systems

4. Adaptive Fault-Tolerant Tracking Control for MIMO Discrete-Time Systems via Reinforcement Learning Algorithm With Less Learning Parameters

5. Robust adaptive neural tracking control for a class of nonlinear systems with unmodeled dynamics using disturbance observer

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