Scalable Distributed Filtering for a Class of Discrete-Time Complex Networks Over Time-Varying Topology.

08:00 EDT 5th September 2019 | BioPortfolio

Summary of "Scalable Distributed Filtering for a Class of Discrete-Time Complex Networks Over Time-Varying Topology."

This article is concerned with the distributed filtering problem for a class of discrete complex networks over time-varying topology described by a sequence of variables. In the developed scalable filtering algorithm, only the local information and the information from the neighboring nodes are used. As such, the proposed filter can be implemented in a truly distributed manner at each node, and it is no longer necessary to have a certain center node collecting information from all the nodes. The aim of the addressed filtering problem is to design a time-varying filter for each node such that an upper bound of the filtering error covariance is ensured and the desired filter gain is then calculated by minimizing the obtained upper bound. The filter is established by solving two sets of recursive matrix equations, and thus, the algorithm is suitable for online application. Sufficient conditions are provided under which the filtering error is exponentially bounded in mean square. The monotonicity of the filtering error with respect to the coupling strength is discussed as well. Finally, an illustrative example is presented to demonstrate the feasibility and effectiveness of our distributed filtering strategy.


Journal Details

This article was published in the following journal.

Name: IEEE transactions on neural networks and learning systems
ISSN: 2162-2388


DeepDyve research library

PubMed Articles [16012 Associated PubMed Articles listed on BioPortfolio]

ℓ-gain filter design of discrete-time positive neural networks with mixed delays.

This paper mainly focuses on the filter design with ℓ-gain disturbance attenuation performance for a class of discrete-time positive neural networks. Discrete and distributed time-varying delays occ...

State-Feedback Filtering for Delayed Discrete-Time Complex-Valued Neural Networks.

This article explores a new filtering problem for the class of delayed discrete-time complex-valued neural networks (CVNNs) via state-feedback control design. The novelty of this article comes from th...

On the Working Principle of the Hopfield Neural Networks and Its Equivalence to the GADIA in Optimization.

Hopfield neural networks (HNNs) are one of the most well-known and widely used kinds of neural networks in optimization. In this article, the author focuses on building a deeper understanding of the w...

A broad class of discrete-time hypercomplex-valued Hopfield neural networks.

In this paper, we address the stability of a broad class of discrete-time hypercomplex-valued Hopfield-type neural networks. To ensure the neural networks belonging to this class always settle down at...

Global Mittag-Leffler stability and synchronization of discrete-time fractional-order complex-valued neural networks with time delay.

Without decomposing complex-valued systems into real-valued systems, this paper investigates existence, uniqueness, global Mittag-Leffler stability and global Mittag-Leffler synchronization of discret...

Clinical Trials [4355 Associated Clinical Trials listed on BioPortfolio]

The Effect of a Blue Light Filtering IOL

To compare the effect on blood retinal barrier disruption 3 and 12 months after implantation of either a blue light filtering intraocular lens(blue-filtering IOL) or an ultraviolet light f...

Fluorouracil Filtering Surgery Study (FFSS)

To determine whether postoperative subconjunctival injections of 5-fluorouracil (5-FU) increase the success rate of filtering surgery in patients at high risk for failure after standard gl...

Discrete Hypothermia in the Management of Traumatic Brain Injury

The primary goal of this project is to demonstrate the feasibility and clinical benefits of a new rapid treatment for secondary treatment for secondary brain injury called Discrete Cerebra...

Preferences in Pain Treatment: A Discrete Choice Experiment in Patients With Peripheral Neuropathic Pain (pNP)

The objective of this study is to identify and weight attributes of topic and systemic pain treatment options relevant from the patients' perspective with peripheral neuropathic pain. The ...

The Effect of Blue-light Filtering Spectacle Lenses on Myopia Progression in Schoolchildren

The purpose of this study is to investigate if the blue-light filtering spectacle lenses promote myopia progression in schoolchildren.

Medical and Biotech [MESH] Definitions

Complex sets of enzymatic reactions connected to each other via their product and substrate metabolites.

A process by which animals in various forms and stages of development are physically distributed through time and space.

A type of constriction that is caused by the presence of a fibrous ring (discrete type) below the AORTIC VALVE, anywhere between the aortic valve and the MITRAL VALVE. It is characterized by restricted outflow from the LEFT VENTRICLE into the AORTA.

An analytical transmission electron microscopy method using an electron microscope fitted with an energy filtering lens. The method is based on the principle that some of the ELECTRONS passing through the specimen will lose energy when they ionize inner shell electrons of the atoms in the specimen. The amount of energy loss is dependent upon the element. Analysis of the energy loss spectrum (ELECTRON ENERGY-LOSS SPECTROSCOPY) reveals the elemental composition of a specimen. It is used analytically and quantitatively to determine which, how much of, and where specific ELEMENTS are in a sample. For example, it is used for elemental mapping of PHOSPHORUS to trace the strands of NUCLEIC ACIDS in nucleoprotein complexes.

The ability to estimate periods of time lapsed or duration of time.

Quick Search

DeepDyve research library

Searches Linking to this Article