Identification Recurrent Type 2 Fuzzy Wavelet Neural Network and L2-Gain Adaptive Variable Sliding Mode Robust Control of Electro-Hydraulic Servo System (EHSS)-Reference-Cited by-同舟云学术

Identification Recurrent Type 2 Fuzzy Wavelet Neural Network and L2-Gain Adaptive Variable Sliding Mode Robust Control of Electro-Hydraulic Servo System (EHSS)

Published:2017-09-25 Issue:4 Volume:20 Page:1480-1490
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian Journal of Control

Author:

Chen Xiangjian¹^ORCID,Li Di²,Yang Xibei¹,Yu Yuecheng¹

Affiliation:

1. School of Computer Science and Engineering; Jiangsu University of Science and Technology

2. China Shipbuilding Industry Corporation 723; China

Funder

National Science Foundations of China

Science and Technology Support Project

Publisher

Wiley

Subject

Control and Systems Engineering

Reference16 articles.

1. Generalized super-twisting algorithm for control of electro-hydraulic servo system;Shiralkar;IFAC,2016

2. A compound control strategy combining velocity compensation with ADRC of electro-hydraulic position servo control system;Gao;ISA Trans.,2015

3. A seventh-order model for dynamic response of an electro-hydraulic servo valve;Liu;Chinese J. Aeronaut.,2016

4. Neuro-fuzzy controller for active ankle foot orthosis;Kochhar;Perspectives in Science.,2016

5. Design and implementation of an adaptive critic-based neuro-fuzzy controller on an unmanned bicycle;Shafiekhani;Mechatronics,2015

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