A hybrid clustering based fuzzy structure for vibration control – Part 2: An application to semi-active vehicle seat-suspension system

Semi-active control of vehicle suspension with magneto-rheological dampers

Haiping Du, K. Y. Sze, James Lam · Journal of Sound and Vibration · 2004 · 315 citations

Engineering, Mechanical Engineering, Mechatronics Engineering +16

Machine Condition Prediction Based on Adaptive Neuro–Fuzzy and High-Order Particle Filtering

Chaochao Chen, Bin Zhang, George Vachtsevanos et al. · IEEE Transactions on Industrial Electronics · 2010 · 247 citations

Engineering, Computer Science, Industrial Engineering +17

Inverse neuro-fuzzy MR damper model and its application in vibration control of vehicle suspension system

Luhang Zong, Xinglong Gong, Chaoyang Guo et al. · Vehicle System Dynamics · 2011 · 84 citations

Engineering, Mechanical Engineering, Mechatronics Engineering +17

An input-output clustering approach to the synthesis of ANFIS networks

Massimo Panella, Andrea Gallo · IEEE Transactions on Fuzzy Systems · 2005 · 82 citations

Computing, Computer Science, Artificial Intelligence +14

ANALYSIS OF PASSIVE AND SEMI ACTIVE CONTROLLED SUSPENSION SYSTEMS FOR RIDE COMFORT IN AN OMNIBUS PASSING OVER A SPEED BUMP

T. Ram Mohan Rao, G. Venkata Rao, S. D. Thirumala Rao et al. · 2010 · 61 citations

Engineering, Systems Engineering, System Dynamics +16