Dissipativity-Based Event-triggered Filtering for Discrete-Time Neural Network with Unreliable Communication Links

Chaoxu Guan, Dong Sun, Zhongyang Fei, Choon Ki Ahn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper investigates dissipativity-based filtering for discrete-time neural network with stochastic packet dropout in the frame of limited communication capacity network. In order to save communication resource of the network, an event trigger scheme is introduced to govern the transmission of system output, which can effectively reduce the data package sent by the network and save the bandwidth. Moreover, packet dropout phenomenon, which is supposed to be uncertain so as to be more realistic, is taken into account in the network channel from sensor node to filter node. By applying a novel Lyapunov function, sufficient conditions are presented to guarantee the filtering error of the neural network system to be strictly (\mathcal{Q},\mathcal{S},\mathcal{R})-\gamma. dissipative. Furthermore, a filter and corresponding event trigger mechanism are codesigned based on the dissipativity analysis. Finally, a simulation example is presented to illustrate the validity and merits of the proposed filter design strategy.

Original languageEnglish
Title of host publicationProceedings of the 37th Chinese Control Conference, CCC 2018
EditorsXin Chen, Qianchuan Zhao
PublisherIEEE Computer Society
Pages6235-6240
Number of pages6
Volume2018-July
ISBN (Electronic)9789881563941
DOIs
Publication statusPublished - 2018 Oct 5
Event37th Chinese Control Conference, CCC 2018 - Wuhan, China
Duration: 2018 Jul 252018 Jul 27

Other

Other37th Chinese Control Conference, CCC 2018
CountryChina
CityWuhan
Period18/7/2518/7/27

Fingerprint

Dissipativity
Telecommunication links
Discrete-time
Filtering
Neural Networks
Neural networks
Drop out
Communication
Lyapunov functions
Sensor nodes
Trigger
Filter
Bandwidth
Filter Design
Vertex of a graph
Lyapunov Function
Strictly
Sensor
Resources
Sufficient Conditions

Keywords

  • Discrete-time neural network
  • Dissipative filtering
  • Event trigger scheme
  • Network-based system
  • Uncertain packet dropout

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modelling and Simulation

Cite this

Guan, C., Sun, D., Fei, Z., & Ahn, C. K. (2018). Dissipativity-Based Event-triggered Filtering for Discrete-Time Neural Network with Unreliable Communication Links. In X. Chen, & Q. Zhao (Eds.), Proceedings of the 37th Chinese Control Conference, CCC 2018 (Vol. 2018-July, pp. 6235-6240). [8483416] IEEE Computer Society. https://doi.org/10.23919/ChiCC.2018.8483416

Dissipativity-Based Event-triggered Filtering for Discrete-Time Neural Network with Unreliable Communication Links. / Guan, Chaoxu; Sun, Dong; Fei, Zhongyang; Ahn, Choon Ki.

Proceedings of the 37th Chinese Control Conference, CCC 2018. ed. / Xin Chen; Qianchuan Zhao. Vol. 2018-July IEEE Computer Society, 2018. p. 6235-6240 8483416.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Guan, C, Sun, D, Fei, Z & Ahn, CK 2018, Dissipativity-Based Event-triggered Filtering for Discrete-Time Neural Network with Unreliable Communication Links. in X Chen & Q Zhao (eds), Proceedings of the 37th Chinese Control Conference, CCC 2018. vol. 2018-July, 8483416, IEEE Computer Society, pp. 6235-6240, 37th Chinese Control Conference, CCC 2018, Wuhan, China, 18/7/25. https://doi.org/10.23919/ChiCC.2018.8483416
Guan C, Sun D, Fei Z, Ahn CK. Dissipativity-Based Event-triggered Filtering for Discrete-Time Neural Network with Unreliable Communication Links. In Chen X, Zhao Q, editors, Proceedings of the 37th Chinese Control Conference, CCC 2018. Vol. 2018-July. IEEE Computer Society. 2018. p. 6235-6240. 8483416 https://doi.org/10.23919/ChiCC.2018.8483416
Guan, Chaoxu ; Sun, Dong ; Fei, Zhongyang ; Ahn, Choon Ki. / Dissipativity-Based Event-triggered Filtering for Discrete-Time Neural Network with Unreliable Communication Links. Proceedings of the 37th Chinese Control Conference, CCC 2018. editor / Xin Chen ; Qianchuan Zhao. Vol. 2018-July IEEE Computer Society, 2018. pp. 6235-6240
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