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Journal ArticleDOI

Synchronization of nonlinear singularly perturbed complex networks with uncertain inner coupling via event triggered control

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TLDR
In an aim to shrink the treatment of network resources event triggered control strategy, the novel Lyapunov–Krasovskii functional is proposed to achieve the synchronization criteria and results are displayed to show the efficacy of the proposed theoretical results.
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This article is published in Applied Mathematics and Computation.The article was published on 2017-10-15. It has received 57 citations till now. The article focuses on the topics: Synchronization (computer science) & Complex network.

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Journal ArticleDOI

Variance-Constrained Recursive State Estimation for Time-Varying Complex Networks With Quantized Measurements and Uncertain Inner Coupling

TL;DR: A new recursive state estimation problem is discussed for a class of discrete time-varying stochastic complex networks with uncertain inner coupling and signal quantization under the error-variance constraints with the aim to ensure a locally minimized upper bound on the estimation error covariance at every sampling instant.
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L2−L∞ synchronization for singularly perturbed complex networks with semi-Markov jump topology

TL;DR: The priority of this work is to obtain some conditions which ensure the underlying complex dynamical network (CDN) is stochastically synchronized with a stated L 2 -- L ∞ performance level.
Journal ArticleDOI

Dynamic Event-Triggered State Estimation for Discrete-Time Singularly Perturbed Systems With Distributed Time-Delays

TL;DR: This paper addresses the state estimation problem for a class of discrete-time singularly perturbed systems with distributed time-delays with dynamic event-triggered scheme and proposes a design algorithm for the desired state estimator ensuring that the error dynamics is exponentially mean-square ultimately bounded.
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Robust finite-time stability of singular nonlinear systems with interval time-varying delay

TL;DR: Some delay-dependent sufficient conditions of RFTS are derived in the form of the linear matrix inequalities (LMIs) by using Lyapunov–Krasovskii functional (LKF) method and singular analysis technique.
Journal ArticleDOI

Word sense disambiguation: A complex network approach

TL;DR: In this paper, a bipartite network model was used to solve the word sense disambiguation problem, which not only serves to represent texts as graphs, but also constructs a structure on which the discrimination of senses is accomplished.
References
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Book

Linear Matrix Inequalities in System and Control Theory

Edwin E. Yaz
TL;DR: In this paper, the authors present a brief history of LMIs in control theory and discuss some of the standard problems involved in LMIs, such as linear matrix inequalities, linear differential inequalities, and matrix problems with analytic solutions.
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Global exponential stability of generalized recurrent neural networks with discrete and distributed delays

TL;DR: A linear matrix inequality (LMI) approach is developed to establish sufficient conditions for the RNNs to be globally exponentially stable, and the existence and uniqueness of the equilibrium point under mild conditions is proved.
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Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays

TL;DR: A synchronization problem is investigated for an array of coupled complex discrete-time networks with the simultaneous presence of both the discrete and distributed time delays and an LMI approach is developed for the state estimation problem.
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$H_{\infty}$ State Estimation for Complex Networks With Uncertain Inner Coupling and Incomplete Measurements

TL;DR: The first attempt to characterize the uncertainties entering into the inner coupling matrix is made with the aid of the interval matrix approach, and a novel measurement model is proposed to account for these phenomena occurring with individual probability.
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