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Indirect adaptive type-2 bionic fuzzy control

  • Published:2017-07-20 Issue:3 Volume:48 Page:541-554
  • ISSN:0924-669X
  • Container-title:Applied Intelligence
  • language:en
  • Short-container-title:Appl Intell

Author:

Zhang Faxiang,Hua Jing,Li YiminORCID

Funder

National Natural Science Foundation of China: bionic intelligent control method of chaotic ecosystems under slow disturbance

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference24 articles.

1. Zhao T, Qian BB, Li YM (2013) Type-2 fuzzy control based on biological adaptation strategies. Control Eng China 20(06):1198– 1202

2. Li L, Qian B, Sun Y (2012) A new direct adaptation fuzzy control which based on type-2 fuzzy. J Syst Sci Math Sci Chin Ser 30(02):236–254

3. Zhao T, Qing B, Li Y (2015) The fuzzy direct adaptive control based on bionic characteristics. Math Pract Theory 5(16):248–256

4. Hua J, Yang X, Li Y (2015) The indirect bionic fuzzy adaptive control using estimation for approximation errors. Math Pract Theory 45(09):183–192

5. Wang H, Wang Z, Liu Y-J, Tong S (2017) Fuzzy tracking adaptive control of discrete-time switched nonlinear systems. Fuzzy Sets Syst 316(1):35–48

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1. Type-2T-S Fuzzy Control for Nonlinear Systems with Niche Equality Index Function;International Journal of Fuzzy Systems;2021-02-14

2. Type-2 Combined T-S Adaptive Fuzzy Control;Mathematical Problems in Engineering;2020-05-15

3. Non-PDC Interval Type-2 Fuzzy Model Predictive Microclimate Control of a Greenhouse;Journal of Control, Automation and Electrical Systems;2019-10-22
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