Cuckoo search algorithm with membrane communication mechanism for modeling overhead crane systems using RBF neural networks-Reference-Cited by-同舟云学术

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Cuckoo search algorithm with membrane communication mechanism for modeling overhead crane systems using RBF neural networks

Published:2017-07 Issue: Volume:56 Page:458-471
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Zhu Xiaohua,Wang Ning

Funder

National Natural Science Foundation of China

National Science and Technology Pillar Program of China

Education and Scientific Research Projects of Young and Middle-aged Teachers in Fujian Province

Publisher

Elsevier BV

Subject

Software

Reference49 articles.

1. A design of saturating control with a guaranteed cost and its application to the crane control system;Yoshida;IEEE Trans. Autom. Control,1992

2. Amplitude-saturated nonlinear output feedback antiswing control for underactuated cranes with double-pendulum cargo dynamics;Sun;IEEE Trans. Ind. Electron.,2017

3. N. Sun, Y.M. Wu, Y.C. Fang, H. Chen, B. Lu, Nonlinear continuous global stabilization control for underactuated RTAC systems: Design, analysis, and experimentation, IEEE/ASME Transactions on Mechatronics, in press 10.1109/TMECH.2016.2631550.

4. Output feedback controller design for a class of MIMO nonlinear systems using high-order sliding-mode differentiators with application to a Laboratory 3-D crane;Chen;IEEE Trans. Ind. Electron.,2008

5. Fuzzy-model-based control of an overhead crane with input delay and actuator saturation;Zhao;IEEE Trans. Fuzzy Syst.,2012

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