期刊
ADVANCES IN DIFFERENCE EQUATIONS
卷 -, 期 -, 页码 -出版社
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1186/s13662-018-1553-7
关键词
LMIs; Markovian jumping systems; Leakage delay; Bidirectional associative memory; Discrete time neural networks; Passivity and stability analysis
资金
- National Natural Science Foundation of China [61573096]
- Jiangsu Provincial Key Laboratory of Networked Collective Intelligence [BM2017002]
- Rajiv Gandhi National Fellowship under the University Grant Commission, New Delhi [F1-17.1/2016-17/RGNF-2015-17-SC-TAM-21509]
- Thailand research grant fund [RSA5980019]
This paper concerns the problem of enhanced results on robust finite time passivity for uncertain discrete time Markovian jumping BAM delayed neural networks with leakage delay. By implementing a proper Lyapunov-Krasovskii functional candidate, reciprocally convex combination method, and linear matrix inequality technique, we derive several sufficient conditions for varying the passivity of discrete time BAM neural networks. Further, some sufficient conditions for finite time boundedness and passivity for uncertainties are proposed by employing zero inequalities. Finally, the enhancement of the feasible region of the proposed criteria is shown via numerical examples with simulation to illustrate the applicability and usefulness of the proposed method.
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