首页|Dynamic Event-Triggered Quadratic Nonfragile Filtering for Non-Gaussian Systems:Tackling Multiplicative Noises and Missing Measurements

Dynamic Event-Triggered Quadratic Nonfragile Filtering for Non-Gaussian Systems:Tackling Multiplicative Noises and Missing Measurements

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This paper focuses on the quadratic nonfragile fil-tering problem for linear non-Gaussian systems under multi-plicative noises,multiple missing measurements as well as the dynamic event-triggered transmission scheme.The multiple miss-ing measurements are characterized through random variables that obey some given probability distributions,and thresholds of the dynamic event-triggered scheme can be adjusted dynamically via an auxiliary variable.Our attention is concentrated on designing a dynamic event-triggered quadratic nonfragile filter in the well-known minimum-variance sense.To this end,the origi-nal system is first augmented by stacking its state/measurement vectors together with second-order Kronecker powers,thus the original design issue is reformulated as that of the augmented sys-tem.Subsequently,we analyze statistical properties of augmented noises as well as high-order moments of certain random parame-ters.With the aid of two well-defined matrix difference equations,we not only obtain upper bounds on filtering error covariances,but also minimize those bounds via carefully designing gain parameters.Finally,an example is presented to explain the effec-tiveness of this newly established quadratic filtering algorithm.

Dynamic event-triggered schememissing measure-mentsmultiplicative noises(MNs)non-Gaussian noisesquadratic filter

Shaoying Wang、Zidong Wang、Hongli Dong、Yun Chen、Guoping Lu

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College of Science,Shandong University of Aeronautics,Binzhou 256603,China

College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590

Department of Computer Science,Brunel University London,Uxbridge UB8 3PH,UK

Artificial Intelligence Energy Research Institute,Northeast Petroleum University,Daqing 163318

Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control,Northeast Petroleum University,Daqing 163318,China

School of Automation,Hangzhou Dianzi University,Hangzhou 310018,China

School of Electrical Engineering,Nantong University,Nantong 226019,China

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国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金山东省自然科学基金Hainan Province Science and Technology Special Fund of ChinaRoyal Society of the UK,and the Alexander von Humboldt Foundation of Germany

61933007U21A2019U22A20446197310262073180ZR2021MF088ZDYF 2022SHFZ105

2024

10.1109/JAS.2024.124338

自动化学报(英文版)
中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDEI
ISSN：2329-9266
年,卷(期)：2024.11(5)
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