H_∞ state estimation for discrete memristive neural networks with signal quantization and probabilistic time delay

Le Fenga Department of Mathematics, Harbin University of Science and Technology, Harbin, People's Republic of China

Liang Zhaoa Department of Mathematics, Harbin University of Science and Technology, Harbin, People's Republic of China;b Heilongjiang Provincial Key Laboratory of Optimization Control and Intelligent Analysis for Complex Systems, Harbin University of Science and Technology, Harbin, People's Republic of ChinaCorrespondence[email protected]

Liqun Bana Department of Mathematics, Harbin University of Science and Technology, Harbin, People's Republic of China;b Heilongjiang Provincial Key Laboratory of Optimization Control and Intelligent Analysis for Complex Systems, Harbin University of Science and Technology, Harbin, People's Republic of China

H_∞ state estimation for discrete memristive neural networks with signal quantization and probabilistic time delay

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

H∞ state estimation for discrete memristive neural networks with signal quantization and probabilistic time delay

Citations (0)

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date

H_∞ state estimation for discrete memristive neural networks with signal quantization and probabilistic time delay