Time delay compensation control using a Taylor series compound robust scheme for a semi‐active suspension with magneto rheological damper
Author:
Affiliation:
1. Faculty of Mechanical Engineering and Automation Zhejiang Sci‐Tech University Hangzhou China
2. Zhejiang Wanxiang Marelli Shock Absorbers Hangzhou China
3. School of Automobile and Traffic Engineering Jiangsu University Zhenjiang China
Funder
Zhejiang Sci-Tech University
National Natural Science Foundation of China
Publisher
Wiley
Subject
Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2674
Reference32 articles.
1. Fuzzy finite-frequency output feedback control for nonlinear active suspension systems with time delay and output constraints
2. Adaptive Neural Network Control for Active Suspension Systems With Time-Varying Vertical Displacement and Speed Constraints
3. Multi-objective optimization of the suspension system parameters of a full vehicle model
4. Adaptive Finite-Time NN Control for 3-DOF Active Suspension Systems With Displacement Constraints
5. Fuzzy logic with a novel advanced firefly algorithm and sensitivity analysis for semi-active suspension system using magneto-rheological damper
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1. NSGA-II-TLQR Control of Semi-active Suspension System with Magnetorheological Damper Considering Response Time Delay;Journal of Vibration Engineering & Technologies;2024-06-06
2. Augmented Kalman Estimator and Equivalent Replacement Based Taylor Series-LQG Control for a Magnetorheological Semi-Active Suspension;Actuators;2024-04-08
3. Anti-lock braking control using an interval type-2 fuzzy neural network scheme for electric vehicles;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2023-12-12
4. Robust predictive compensation control for lateral magnetorheological semi-active suspension of high-speed trains with time delay;Automatika;2023-11-21
5. A Review of the Controllers for Structural Control;Archives of Computational Methods in Engineering;2023-05-13
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