Inverse–adaptive multilayer T–S fuzzy controller for uncertain nonlinear system optimized by differential evolution algorithm
Author:
Funder
Industrial University of Ho Chi Minh City
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-020-04782-2.pdf
Reference46 articles.
1. Anh HPH et al (2018) Parameter identification using adaptive differential evolution algorithm applied to robust control of uncertain nonlinear systems. Appl Soft Comput 71:672–684
2. Berrazouane et al (2014) Parameter optimization via cuckoo optimization algorithm of fuzzy controller for energy management of a hybrid power system. Energy Convers Manag 78:652–660
3. Chen C-H, Liu C-B (2017) Reinforcement learning-based differential evolution with cooperative coevolution for a compensatory neuro-fuzzy controller. IEEE Trans Neural Netw Learn Syst 29:4719–4729
4. De Silva CW (2018) Intelligent control: fuzzy logic applications. CRC Press, Boca Raton
5. Deng W et al (2017a) A novel collaborative optimization algorithm in solving complex optimization problems. Soft Comput 21(15):4387–4398
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