Global synchronization control of general delayed discrete-time networks with stochastic coupling and disturbances

Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.In this paper, the synchronization control problem is considered for two coupled discrete-time complex networks with time delays. The network under investigation is quite general to reflect the reality, where the state delays are allowed to be time varying with given lower and upper bounds, and the stochastic disturbances are assumed to be Brownian motions that affect not only the network coupling but also the overall networks. By utilizing the Lyapunov functional method combined with linear matrix inequality (LMI) techniques, we obtain several sufficient delay-dependent conditions that ensure the coupled networks to be globally exponentially synchronized in the mean square. A control law is designed to synchronize the addressed coupled complex networks in terms of certain LMIs that can be readily solved using the Matlab LMI toolbox. Two numerical examples are presented to show the validity of our theoretical analysis results.This work was supported by the Royal Society Sino-British Fellowship Trust Award of the U.K

Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays

Copyright [2010] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.In this paper, the problem of stochastic synchronization analysis is investigated for a new array of coupled discrete-time stochastic complex networks with randomly occurred nonlinearities (RONs) and time delays. The discrete-time complex networks under consideration are subject to: (1) stochastic nonlinearities that occur according to the Bernoulli distributed white noise sequences; (2) stochastic disturbances that enter the coupling term, the delayed coupling term as well as the overall network; and (3) time delays that include both the discrete and distributed ones. Note that the newly introduced RONs and the multiple stochastic disturbances can better reflect the dynamical behaviors of coupled complex networks whose information transmission process is affected by a noisy environment (e.g., Internet-based control systems). By constructing a novel Lyapunov-like matrix functional, the idea of delay fractioning is applied to deal with the addressed synchronization analysis problem. By employing a combination of the linear matrix inequality (LMI) techniques, the free-weighting matrix method and stochastic analysis theories, several delay-dependent sufficient conditions are obtained which ensure the asymptotic synchronization in the mean square sense for the discrete-time stochastic complex networks with time delays. The criteria derived are characterized in terms of LMIs whose solution can be solved by utilizing the standard numerical software. A simulation example is presented to show the effectiveness and applicability of the proposed results

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The East Village Other Volume 4, no. 37

Counterculture newspaper published bi-weekly featuring a map of Woodstock on the cover. To view the hi-resolution images of this item please follow the url link: https://oshermaps.org/map/54214.0001https://digitalcommons.usm.maine.edu/oml-newsprint/1000/thumbnail.jp

The McKillop Library Waste Stream

The McKillop Library\u27s resources come at an environmental cost because more resources are being used than is realized. The focus is on the amount of carbon emissions and waste that is being produced by the library. Carbon emissions are the leading cause of climate change, and through recycling the library can lower the amount of carbon the library is producing. If recycling and re-using materials becames more of a common procedure in library, there is little doubt that it would be more environmentally friendly

AN INVESTIGATION INTO CUSTOMER RELATIONSHIP MANAGEMENT (CRM) MARKET IN VIETNAM

 Customer Relationship Management (CRM) is a strategy for managing all of the company's relationships and interactions with customers and potential customers. It helps the company improve its profitability. More commonly, when people talk about CRM they are usually referring to a CRM system, a tool which helps with contact management, sales management, workflow processes, productivity and more. Customer Relationship Management enables you to focus on your organization’s relationships with individual people – whether those are customers, service users, colleagues or suppliers. CRM is not just for sales. Some of the biggest gains in productivity can come from moving beyond CRM as a sales and marketing tool and embedding it in your business – from HR to customer services and supply-chain management