Fuzzy Logic Controller by Particle Swarm Optimization Discoverer for Semi-Active Suspension System
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8703-8_17
Reference12 articles.
1. Soliman AMA, Kaldas MMS (2021) Semi-active suspension systems from research to mass-market—a review. J Low Freq Noise Vibr Active Control 40(2):1005–1023
2. Elsaady W, Oyadiji SO, Nasser A (2020) Magnetic circuit analysis and fluid flow modeling of an MR damper with enhanced magnetic characteristics. IEEE Trans Magnet 56(9)
3. Houzhong Z, Jiasheng L, Chaochun Y, Xiaoqiang S, Yingfeng C (2020) Application of explicit model predictive control to a vehicle semi-active suspension system. J Low Freq Noise Vib Active Control 39(3):772–786
4. Ab Talib MH, Mat Darus IZ, Mohd Samin P (2019) Fuzzy logic with a novel advanced firefly algorithm and sensitivity analysis for semi-active suspension system using magneto-rheological damper. J Ambient Intell Humaniz Comput 10(8):3263–3278
5. Ab Talib MH et al (2021) Vibration control of semi-active suspension system using PID controller with advanced firefly algorithm and particle swarm optimization. J Ambient Intell Human Comput 12(1):1119–1137
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