期刊
IEEE TRANSACTIONS ON CYBERNETICS
卷 47, 期 10, 页码 3195-3207出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2017.2655725
关键词
l(2)-l(8) filtering; discrete Wirtinger-type inequality; discrete-time switched neural networks (DSNNs); dissipative filtering; exponential stability
类别
资金
- National Research Foundation of Korea (NRF) through the Ministry of Science, ICT & Future Planning [NRF-2014R1A1A1006101]
- Brain Korea 21 Plus Project
- NRF - Ministry of Education [NRF-2016R1D1A1B01016071]
This paper studies delay-dependent exponential dissipative and l(2)-l(8) filtering problems for discrete-time switched neural networks (DSNNs) including time-delayed states. By introducing a novel discrete-time inequality, which is a discrete-time version of the continuous-time Wirtinger-type inequality, we establish new sets of linear matrix inequality (LMI) criteria such that discrete-time filtering error systems are exponentially stable with guaranteed performances in the exponential dissipative and l(2)-l(8) senses. The design of the desired exponential dissipative and l(2)-l(8) filters for DSNNs can be achieved by solving the proposed sets of LMI conditions. Via numerical simulation results, we show the validity of the desired discrete-time filter design approach.
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