Second-Order Consensus for Multiagent Systems With Directed Topologies and Nonlinear Dynamics

By Wenwu Yu, Guanrong Chen, Ming Cao, Jürgen Kurths. 2010

1,093 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

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In Computer Networks and Communications

1. Guanrong Chen
2. Wenwu Yu
3. Wei Ren
4. Frank L. Lewis
5. Z. Duan
6. Guanghui Wen
7. Yongcan Cao
8. Jürgen Kurths

Citations in the corpus

• An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination (2012, background): “onsensus model, the inner matrices Γ are usually an identity matrix and a rank-one matrix 0 1 0 0 for multi-agent systems with single-integrator kinematics [8] and double-integrator dynamics [96]–[98], respectively. In consensus models with higherorder dynamics [99], the inner matrix is similar. H”
• Distributed leader-follower flocking control for multi-agent dynamical systems with time-varying velocities (2010, background): “Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.”
• Consensus Tracking of Multi-Agent Systems With Lipschitz-Type Node Dynamics and Switching Topologies (2014, background): “For example, system (3) becomes a second-order multi-agent system with nonlinear dynamics, studied in [32], if”
• Adaptive consensus with a virtual leader of multiple agents governed by locally Lipschitz nonlinearity (2013, background): “Remark 1 It should be noted that many existing approaches on the second-order nonlinear consensus problem have been focused on the system whose dynamics are assumed to be globally Lipschitz [12, 21].”
• Distributed Finite-Time Containment Control for Double-Integrator Multiagent Systems (2014, methodology): “Control algorithms for this problem have been reported in [13], [14], [18]–[26].”
• Distributed Adaptive Tracking Control for Synchronization of Unknown Networked Lagrangian Systems (2011, methodology): “, recent publications allow for the analysis using traditional control theory notions (see, for example, [5] and [14]).”
• Synchronization via Pinning Control on General Complex Networks (2013, background): “[1, 8, 18, 19, 36, 37, 48, 49, 56, 58, 60, 61] and consensus [6, 51, 52, 53, 55, 59, 64] in very large-scale complex networks.”