Trajectory tracking for uncertainty time delayed-state self-balancing train vehicles using observer-based adaptive fuzzy control-Reference-Cited by-同舟云学术

Trajectory tracking for uncertainty time delayed-state self-balancing train vehicles using observer-based adaptive fuzzy control

Published:2015-12 Issue: Volume:324 Page:1-22
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Wu Tzu-Sung,Karkoub Mansour,Weng Chien-Chih,Yu Wen-Shyong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference37 articles.

1. Optimal Control: Linear Quadratic Methods;Anderson,1990

2. An adaptive h∞ tracking control for a class of nonlinear multiple-input multiple-output (MIMO) systems;Chang;IEEE Trans. Automat. Control,2001

3. Adaptive fuzzy-based tracking control for nonlinear SISO system via VSS and h∞ approaches;Chang;IEEE Trans. Fuzzy Syst.,2001

4. Design of robust adaptive variable structure tracking controllers with application to rigid robot manipulators;Cheng;IET, Contr. Theory Appl.,2010

5. Robust tracking control for nonlinear MIMO systems via fuzzy approaches;Chang;Automatica,2000

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Smart Train Operation Algorithms Based on Expert Knowledge and Reinforcement Learning;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2022-02

2. Spatio-temporal trajectory estimation based on incomplete Wi-Fi probe data in urban rail transit network;Knowledge-Based Systems;2021-01

3. Underactuated robotics: A review;International Journal of Advanced Robotic Systems;2019-07

4. The Design of Robotic Arm Adaptive Fuzzy Controller Based on Oscillator and Differentiator;International Journal of Online and Biomedical Engineering (iJOE);2019-03-14

5. Intelligent driving methods based on sparse LSSVM and ensemble CART algorithms for high-speed trains;Computers & Industrial Engineering;2019-01