Self-adaptive Takagi-Sugeno model identification methodology for industrial control processes-Reference-Cited by-同舟云学术

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Self-adaptive Takagi-Sugeno model identification methodology for industrial control processes

Published:2014-10 Issue: Volume: Page:
ISSN:
Container-title:IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society
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Author:

Rastegar Saeid,Araujo Rui,Mendes Jerome,Matias Tiago,Emami Alireza

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7036020/7048466/07048512.pdf?arnumber=7048512

Cited by 6 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. A Review of Energy and Sustainability KPI-Based Monitoring and Control Methodologies on WWTPs;Mathematics;2022-12-29

2. Electric Vehicle Physical Parameters Identification;IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society;2022-10-17

3. Dynamic Setpoint Optimization Using Metaheuristic Algorithms for Wastewater Treatment Plants;IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society;2022-10-17

4. Hierarchical Adaptive Genetic Algorithm Based T–S Fuzzy Controller For Non-linear Automotive Applications;International Journal of Fuzzy Systems;2021-08-28

5. Binary particle swarm optimization-based T-S fuzzy predictive controller for nonlinear automotive application;Neural Computing and Applications;2020-07-13

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