Reliable fuzzy control for uncertain vehicle suspension systems with random incomplete transmission signals and sensor failure

作者: Zhenxing Zhang , Hongjing Liang , Hui Ma , Yingnan Pan

DOI: 10.1016/J.YMSSP.2019.05.032

关键词: Control theoryDropout (neural networks)Control theoryTransmission (telecommunications)Fuzzy logicLyapunov stabilityComputer scienceBernoulli's principleNetwork packetFuzzy control system

摘要: … load, the suspension deflection, must be taken into consideration in any control strategies. But … want, the larger deflection and smaller adhesive force will be exposed. The active vehicle …

参考文章(63)
Nong Zhang, Junmin Wang, Hui Zhang, Load-dependent observer design for active suspension systems International Journal of Vehicle Design. ,vol. 68, ,(2015)
Ozgur Demir, Ilknur Keskin, Saban Cetin, Modeling and control of a nonlinear half-vehicle suspension system: a hybrid fuzzy logic approach Nonlinear Dynamics. ,vol. 67, pp. 2139- 2151 ,(2012) , 10.1007/S11071-011-0135-Y
Jiuxiang Dong, Guang-Hong Yang, Reliable State Feedback Control of T–S Fuzzy Systems With Sensor Faults IEEE Transactions on Fuzzy Systems. ,vol. 23, pp. 421- 433 ,(2015) , 10.1109/TFUZZ.2014.2315298
Xiaojie Su, Peng Shi, Ligang Wu, Michael V. Basin, Reliable Filtering With Strict Dissipativity for T-S Fuzzy Time-Delay Systems IEEE Transactions on Systems, Man, and Cybernetics. ,vol. 44, pp. 2470- 2483 ,(2014) , 10.1109/TCYB.2014.2308983
Pengzhi Li, Feng Yan, Chuan Ge, Xueliang Wang, Lisong Xu, Jialiang Guo, Peiyue Li, A simple fuzzy system for modelling of both rate-independent and rate-dependent hysteresis in piezoelectric actuators Mechanical Systems and Signal Processing. ,vol. 36, pp. 182- 192 ,(2013) , 10.1016/J.YMSSP.2012.10.004
G. Priyandoko, M. Mailah, H. Jamaluddin, Vehicle active suspension system using skyhook adaptive neuro active force control Mechanical Systems and Signal Processing. ,vol. 23, pp. 855- 868 ,(2009) , 10.1016/J.YMSSP.2008.07.014
Cuneyt Aliustaoglu, H. Metin Ertunc, Hasan Ocak, Tool wear condition monitoring using a sensor fusion model based on fuzzy inference system Mechanical Systems and Signal Processing. ,vol. 23, pp. 539- 546 ,(2009) , 10.1016/J.YMSSP.2008.02.010
Hui Zhang, Junmin Wang, State Estimation of Discrete-Time Takagi–Sugeno Fuzzy Systems in a Network Environment IEEE Transactions on Systems, Man, and Cybernetics. ,vol. 45, pp. 1525- 1536 ,(2015) , 10.1109/TCYB.2014.2354431
Hongyi Li, Xingjian Jing, Hak-Keung Lam, Peng Shi, Fuzzy Sampled-Data Control for Uncertain Vehicle Suspension Systems IEEE Transactions on Systems, Man, and Cybernetics. ,vol. 44, pp. 1111- 1126 ,(2014) , 10.1109/TCYB.2013.2279534