<mml:math altimg="si0031.gif" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd" xmlns:sa="http://www.elsevier.com/xml/common/struct-aff/dtd"><mml:mrow><mml:mi mathvariant="script">H</mml:mi></mml:mrow></mml:math>∞ state estimation for discrete-time switching neural networks with persistent dwell-time switching regularities-Reference-Cited by-同舟云学术

H∞ state estimation for discrete-time switching neural networks with persistent dwell-time switching regularities

Author:

Zhu Yanzheng,Zhang Lixian,Ning Zepeng,Zhu Zhenzong,Shammakh Wafa,Hayat Tasawar

Funder

KAU

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities, China

China Scholarship Council

Deanship of Scientific Research (DSR), King Abdulaziz University (KAU)

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference34 articles.

1. l2–l∞ state estimation for time-delayed switched Hopfield neural networks;Ahn;Int. J. Innov. Comput. I,2011

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