TY - GEN
T1 - Estimation of a class of stochastic switching neural networks with sensor saturations through a nonsynchronous filter
AU - Zhang, Lixian
AU - Zhu, Yanzheng
AU - Zheng, Weixing
AU - Leng, Yusong
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/3/2
Y1 - 2015/3/2
N2 - In this paper, the problem of energy-to-peak state estimation for a class of discrete-time Markov jump recurrent neural networks (RNNs) with randomly occurring sensor saturations is investigated. A practical phenomenon of nonsynchronous jumps between RNNs modes and desired mode-dependent filters is considered and a nonstationary mode transition among the filters is used to model the non-synchronous jumps to different degrees that are also mode-dependent. The sensor saturation occurs in a probabilistic way according to a Bernoulli sequence. Sufficient conditions on the existence of the nonsynchronous filters are obtained such that the filtering error system is stochastically stable and achieves a prescribed energy-to-peak performance index. A numerical example is presented to verify the theoretical findings.
AB - In this paper, the problem of energy-to-peak state estimation for a class of discrete-time Markov jump recurrent neural networks (RNNs) with randomly occurring sensor saturations is investigated. A practical phenomenon of nonsynchronous jumps between RNNs modes and desired mode-dependent filters is considered and a nonstationary mode transition among the filters is used to model the non-synchronous jumps to different degrees that are also mode-dependent. The sensor saturation occurs in a probabilistic way according to a Bernoulli sequence. Sufficient conditions on the existence of the nonsynchronous filters are obtained such that the filtering error system is stochastically stable and achieves a prescribed energy-to-peak performance index. A numerical example is presented to verify the theoretical findings.
KW - Markov jump recurrent neural networks (RNNs)
KW - Nonstationary Markov chain
KW - Nonsynchronous filter
KW - Randomly occurring sensor saturation
UR - https://www.scopus.com/pages/publications/84932085164
U2 - 10.1109/WCICA.2014.7053064
DO - 10.1109/WCICA.2014.7053064
M3 - 会议稿件
AN - SCOPUS:84932085164
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 2202
EP - 2207
BT - Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
Y2 - 29 June 2014 through 4 July 2014
ER -