Design of Missile Guidance Law Using Takagi-Sugeno-Kang (TSK) Elliptic Type-2 Fuzzy Brain Imitated Neural Networks-Reference-Cited by-同舟云学术

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Design of Missile Guidance Law Using Takagi-Sugeno-Kang (TSK) Elliptic Type-2 Fuzzy Brain Imitated Neural Networks

Published:2023 Issue: Volume:11 Page:53687-53702
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pham Duc-Hung¹^ORCID,Lin Chih-Min¹^ORCID,Giap Van Nam²^ORCID,Vu Van-Phong³^ORCID,Cho Hsing-Yueh¹

Affiliation:

1. Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan

2. School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hai Ba Trung, Hanoi, Vietnam

3. Department of Automatic Control, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City, Vietnam

Funder

Ministry of Science and Technology of Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10129027.pdf?arnumber=10129027

Reference33 articles.

1. Wavelet Interval Type-2 Takagi-Kang-Sugeno Hybrid Controller for Time-Series Prediction and Chaotic Synchronization

2. A Recurrent Self-Evolving Interval Type-2 Fuzzy Neural Network for Dynamic System Processing

3. Type-2 fuzzy elliptic membership functions for modeling uncertainty

4. H/sup ∞/ tracking design of uncertain nonlinear SISO systems: adaptive fuzzy approach

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