New approach to synchronization analysis of linearly coupled ordinary differential systems
By Wenlian Lu, Tianping Chen. 2006
622 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/9e7899be09f0e1ebab4e33b7ddae7776214b3b07
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In Computer Networks and Communications
In Statistical and Nonlinear Physics
Citations in the corpus
- Consensus of multi-agent systems with intrinsic nonlinear dynamics and sampled-data information (2011, background): “Lemma 1: [28], [29] Suppose that a directed graph G(A) is strongly connected.”
- Exponential synchronization of nonlinearly coupled complex networks with hybrid time-varying delays via impulsive control (2016, background): “Remark 1 Most of the researches on synchronization of dynamical network have been performed under some implicit assumptions that there exists the information communication of nodes only at time t [5] or at time t − τ [21].”
- A Distributed Dynamic Event-Triggered Control Approach to Consensus of Linear Multiagent Systems With Directed Networks (2020, background): “Lemma 2 [34]: Under Assumption 2, there exists a vector ξ = [ξ1, ξ2, .”
- Consensus of Multiagent Systems and Synchronization of Complex Networks: A Unified Viewpoint (2016, methodology): “For the model (5) with directed coupling, a nonorthogonal projection of x(t) on the synchronization manifold S,̄ X(t) = [x̄(t), · · · , x̄(t)] , where x̄(t) = ∑N i=1 ξixi(t), was first introduced in [2].”
- Boundedness and synchronization of y-coupled Lorenz systems with or without controllers ☆ (2008, neutral): “Define a reference trajectory (see [30])”
- Fixed/Preassigned-Time Synchronization of Complex Networks via Improving Fixed-Time Stability (2020, background): “Definition 1 [31], [32]: For the network (1), the set S = {( z1 (t), .”
- Finite-time stochastic synchronization of complex networks (2010, background): “Several approaches have been proposed for the chaos synchronization of complex dynamical networks without control [10–14].”
- Distributed Synchronization in Networks of Agent Systems With Nonlinearities and Random Switchings (2013, methodology): “Together with Assumption 1 [53], the algorithm is formulated as follows: where and Δ m > 0 .”
- Global synchronization and asymptotic stability of complex dynamical networks (2006, background): “The objective is to find a condition satisfied by the coupling matrix under which the solutions of network (1) globally asymptotically synchronize each other, in the sense that for all (4) Next, following [13], let , , , and .”
- Second-Order Consensus for Multiagent Systems With Directed Topologies and Nonlinear Dynamics (2010, background): “This scenario arises naturally when agents have intrinsic nonlinear dynamics [4], [17], [18], [21], [29]–[32], [34], [35], [38], [42], [43].”
- Exponential Synchronization of Linearly Coupled Neural Networks With Impulsive Disturbances (2011, background): “described by the following delayed differential equations [19], [34]: ẋi (t) = Cxi (t) + B1 f (xi (t)) + B2 f (xi (t − τ (t))) + I (t)”
- Pinning Complex Networks by a Single Controller (2006, neutral): “In the paper [5], based on the geometric structure of the synchronization manifold, a thorough theoretical analysis of the synchronization of LCODEs is given.”
- Synchronization of Complex Networks via Aperiodically Intermittent Pinning Control (2015, background): “Definition 1: (See [6], [9]) Matrix A = (ajk)j,k=1 is said to belong to class A1, denoted as A ∈ A1, if A is irreducible, and ajk ≥ 0, j = k, ajj = − ∑N k=1,k =j ajk, j = 1, · · · , N .”
- Synchronization analysis of linearly coupled systems described by differential equations with a coupling delay (2006, methodology): “Furthermore, we extend the methodology introduced in [17] to the delayed coupled systems.”
- Cluster Synchronization in Directed Networks Via Intermittent Pinning Control (2011, neutral): “Similar definitions have been widely adopted in the synchronization literature, [15], [16], [18].”
- Consensus in Directed Networks of Agents With Nonlinear Dynamics (2011, neutral): “[16] T.”