Journal
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Volume 50, Issue 3, Pages 962-971Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2017.2770161
Keywords
Quantization (signal); Propagation losses; Reliability; Delays; Nonlinear systems; Cybernetics; Filtering; Data losses; dissipative filter; event-triggered scheme; networked systems; T-S fuzzy model
Funding
- Natural Science Fund for Distinguished Young Scholars of Jiangsu Province [BK20150034]
- National Natural Science Foundation of China [61473151, 61473152, 61473171]
- Qing Lan Project
- Shandong Provincial Natural Science Foundation for Distinguished Young Scholars [JQ201515]
- Taishan Scholarship Project of Shandong Province [tsqn20161032]
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This paper aims to design a dissipative fuzzy filter for a class of discrete-time nonlinear networked systems. In order to adopt the limited communication links, we employ an event-triggered scheme to reduce the number of transmitted data in the network by preventing the unnecessary ones from releasing. Due to the digital channel, the data to be transmitted should be quantized and a logarithmic quantizer is employed. Then, when the part of released data is transmitted in the network, data losses is captured by a Bernoulli process. Consequently, the uncomplete data sequence is compensated by the buffer and then send to the filter. During this process, a new random series is developed to help constructing the filtering systems. Thus, a novel method is presented to guarantee the filter error system to be dissipative based on the T-S fuzzy model approach. Finally, an example concerned with Henon mapping system is provided to verify the validity of the proposed design method.
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