Variable universe fuzzy control for vehicle semi-active suspension system with MR damper combining fuzzy neural network and particle swarm optimization

Author:

Pang Hui,Liu Fan,Xu Zeren

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Cited by 126 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. Advancements in Semi-Active Automotive Suspension Systems with Magnetorheological Dampers: A Review;Applied Sciences;2024-09-04

2. Sliding Mode Control for Semi-Active Suspension System Based on Enhanced African Vultures Optimization Algorithm;World Electric Vehicle Journal;2024-08-21

3. Robust finite frequency control for MRF damper-based semi-active suspension systems subject to time delay and hysteresis nonlinearity;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2024-07-24

4. An adaptive backstepping sliding mode control strategy for the magnetorheological semi-active suspension;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-07-23

5. Optimal Layout of Suspension System Employing Mechatronic Inerter for Comfort Enhancement Based on Structure-Immittance Approach;SAE International Journal of Vehicle Dynamics, Stability, and NVH;2024-07-22

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