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To transmit or not to transmit : a discrete event-triggered communication scheme for networked Takagi-Sugeno fuzzy systems

journal contribution
posted on 2017-12-06, 00:00 authored by Chen Peng, Qing-Long Han, Dong Yue
This paper first proposes a discrete event-triggered communication scheme for a class of networked Takagi-Sugeno (T-S) fuzzy systems. This scheme has two main features: 1) Whether or not the sampled state should be transmitted is determined by the current-sampled state and the error between the current-sampled state and the latest transmitted state. Compared with those in a periodic time-triggered communication scheme, the communication bandwidth utilization is considerably reduced while preserving the desired control performance; and 2) it is a discrete event-triggered communication scheme due to the fact that the triggered conditions are only measured and checked at a constant sampling period. Compared with a continuous event-triggered communication scheme, the special hardware for continuous measurement and computation is no longer needed. Second, a networked T-S fuzzy model is delicately constructed, which not only considers nonuniform time scales in the networked T-S fuzzy model and the parallel distributed compensation fuzzy control rules but includes the aforementioned state error as well. Third, a stability criterion and a stabilization criterion about the networked T-S fuzzy system are derived, respectively. The stability criterion and stabilization criterion can provide a tradeoff to balance the required communication resource and the desired performance: Lowering the desired performance allows the network to allocate more limited bandwidth to other nodes in need. Finally, a numerical example is given to show the effectiveness of the proposed method.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Volume

21

Issue

1

Start Page

164

End Page

170

Number of Pages

7

ISSN

1063-6706

Location

Piscataway, NJ

Publisher

IEEE

Language

en-aus

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Centre for Intelligent and Networked Systems (CINS); Hua zhong gong xue yuan; Nanjing Shi fan da xue; TBA Research Institute;

Era Eligible

  • Yes

Journal

IEEE transactions on fuzzy systems.