Study on bifurcation analysis and Takagi–Sugeno fuzzy sampled‐data stabilization of permanent magnet synchronous motor systems-Reference-Cited by-同舟云学术

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Study on bifurcation analysis and Takagi–Sugeno fuzzy sampled‐data stabilization of permanent magnet synchronous motor systems

Published:2021-11-18 Issue: Volume: Page:
ISSN:0170-4214
Container-title:Mathematical Methods in the Applied Sciences
language:en
Short-container-title:Math Meth Appl Sci

Author:

Vadivel R.¹,Srinivasan Sabarathinam²,Wu Yongbao³,Gunasekaran Nallappan⁴^ORCID

Affiliation:

1. Department of Mathematics, Faculty of Science and Technology Phuket Rajabhat University Phuket Thailand

2. Centre for Nonlinear Dynamics, School of Physics Bharathidasan University Tiruchirappalli Tamil Nadu India

3. School of Automation Southeast University Nanjing China

4. Computational Intelligence Laboratory Toyota Technological Institute Nagoya Japan

Publisher

Wiley

Subject

General Engineering,General Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.7953

Reference47 articles.

1. Bifurcations and chaos in a permanent-magnet synchronous motor

2. Fuzzy PI-type current controllers for permanent magnet synchronous motors

3. BistakS KimS.AC induction motors vs. permanent magnet synchronous motors. Fuji Electric Corp of America;2017.

4. T–S Fuzzy-Model-Based Sliding-Mode Control for Surface-Mounted Permanent-Magnet Synchronous Motors Considering Uncertainties

5. Fault Detection and Reconstruction for Discrete Nonlinear Systems via Takagi-Sugeno Fuzzy Models

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