期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷 24, 期 12, 页码 1957-1972出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNNLS.2013.2271046
关键词
Average dwell time; delay partitioning; delayed neural networks (DNNs); discrete time; exponential stability; switched parameters
类别
资金
- National Natural Science Foundation of China [61174126, 61222301]
- Fundamental Research Funds for the Central Universities [HIT.BRETIV.201303]
- SZSTI Basic Research Program [JCYJ20120831142942514]
- GRF HKU [7140/11E]
This paper is concerned with the problems of exponential stability analysis and synchronization of discrete-time switched delayed neural networks. Using the average dwell time approach together with the piecewise Lyapunov function technique, sufficient conditions are proposed to guarantee the exponential stability for the switched neural networks with time-delays. Benefitting from the delay partitioning method and the free-weighting matrix technique, the conservatism of the obtained results is reduced. In addition, the decay estimates are explicitly given and the synchronization problem is solved. The results reported in this paper not only depend upon the delay, but also depend upon the partitioning, which aims at reducing the conservatism. Numerical examples are presented to demonstrate the usefulness of the derived theoretical results.
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