Event-triggered fault detection for T-S fuzzy systems with local nonlinear models in finite-frequency domain  

作　　者：Ying Gu Ming Huangfu 

机构地区：[1]School of Science,Dalian Jiaotong University,Dalian,People’s Republic of China

出　　处：《Journal of Control and Decision》2023年第2期250-259,共10页控制与决策学报（英文）

基　　金：the Funds of the Natural Science Foundation of Liaoning Province of China[grant number 2019-ZD-0118].

摘　　要：This article investigates the issue of event-triggered fault detection(FD)filter design for T-S fuzzy systems with local nonlinear models.A novel H−/H∞FD filter subject to the event triggering transmission mechanism is designed in finite-frequency domain.Then,a novel lemma,in which the nonlinear part and the event triggering mechanism are dealt appropriately,is presented to capture the sensitivity and robustness performances.In addition,the slack matrices are utilised to derive optimal filter parameters by solving a convex optimisation problem.The less conservative FD method can get better detection performances than those entire-frequency methods.Finally,an example is introduced to verify the new results.

关 键 词：T-S fuzzy nonlinear systems fault detection event-triggered mechanism finite-frequency domain linear matrix inequalities(LMIs) 

分 类 号：O17[理学—数学]