文献类型：期刊文献

英文题名：Adaptive Event-Triggered Fuzzy Control for Uncertain Active Suspension Systems

作者：Li, Hongyi[1,2];Zhang, Zhenxing[3];Yan, Huaicheng[4,5];Xie, Xiangpeng[6]

机构：[1]Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China;[2]Bohai Univ, Coll Engn, Jinzhou 121013, Peoples R China;[3]Bohai Univ, Coll Math & Phys, Jinzhou 121013, Peoples R China;[4]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[5]Hubei Normal Univ, Coll Mechatron & Control Engn, Huangshi 435002, Hubei, Peoples R China;[6]Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210003, Jiangsu, Peoples R China

年份：2019

卷号：49

期号：12

起止页码：4388

外文期刊名：IEEE TRANSACTIONS ON CYBERNETICS

收录：;EI(收录号：20183805834692);WOS:【SCI-EXPANDED(收录号:WOS:000485687200028)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61622302, Grant 61673178, and Grant 61773221, in part by the Innovative Research Team Program of Guangdong Province Science Foundation (2018B030312006), in part by the Science and Technology Planning Project of Guangdong Province under Grant 2017B010116006, in part by the Shanghai International Science and Technology Cooperation Project under Grant 15220710700, and in part by the Shanghai Shuguang Project under Grant 16SG28.

语种：英文

外文关键词：Actuator failure; adaptive event-triggered control; fuzzy control; uncertain vehicle suspension systems

摘要：This paper studies the adaptive event-triggered fuzzy control issue for active vehicle suspension systems with uncertainties. Takagi-Sugeno fuzzy model is applied for considered systems. In the process of designing controller, a crucial problem, actuator failure, is taken into account. An adaptive event-triggered mechanism is adopted to economize limited communication resource. Compared with the traditional event-triggered scheme with a constant threshold, the adaptive event-triggered mechanism can save more resource effectively. Based on Lyapunov stability theory, an adaptive event-triggered fuzzy control approach is proposed to guarantee the desired performance. Meanwhile, suspension constrained requirements are also ensured. Finally, simulation examples are presented to testify the feasibility of the approach proposed in this paper.