Consensus control for a class of networks of dynamic agents
By Guangming Xie, Long Wang. 2007
547 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/23bd76c7b7d6dd4572d3f9486b0ede2060944a78
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In Computer Networks and Communications
Citations in the corpus
- Consensus strategy for a class of multi‐agents with discrete second‐order dynamics (2012, background): “Remark 1 Note that in this paper, 2 plays the same role as and k which are specified in Equation (17) in [18] and Equation (16) in [19], respectively.”
- H ∞ consensus control of multi-agent systems with switching topology: a dynamic output feedback protocol (2010, background): “Xie and Wang (2007) studied the consensus problem of second-order multi-agent systems with fixed and switching topologies, respectively.”
- Consensus of a Class of Second-Order Multi-Agent Systems With Time-Delay and Jointly-Connected Topologies (2010, background): “Recently, more attention has been paid to consensus problems for second-order multi-agent systems [12]–[20].”
- Asynchronous Consensus in Continuous-Time Multi-Agent Systems With Switching Topology and Time-Varying Delays (2006, background): “…ith Sw itching Topology and T im e-Varying D elays 1 Feng Xiao,Long W ang IntelligentControlLaboratory,Center for System s and Control,Departm entof IndustrialEngineering and M anagem ent,and Departm entofM echanicsand Space Technologies,College ofEngineering,Peking University,Beijing 100871,China”
- On Consensus Algorithms for Double-Integrator Dynamics (2007, background): “A second-order consensus algorithm is also considered in [15] under undirected information exchange.”
- Second-order consensus for multi-agent systems with switching topology and communication delay (2011, background): “In particular, extensions of first-order consensus algorithms to the second-order case with undirected network topology are discussed in [21], while [19] proposes and analyzes a different consensus algorithm for second-order agents under directed and fixed network topology under the assumption that ”
- LQR‐based optimal topology of leader‐following consensus (2015, background): “Sufficient conditions for second-order consensus were gotten under various circumstances [17, 18].”
- Consensus in multi-agent systems: a review (2021, background): “Ever since the advent of control theory, the double-integrator control system has attracted a great deal of attention and is now a symbol of the controllers that achieve minimum execution time and minimum fuel consumption (Xie and Wang 2007).”
- Multi‐vehicle coordination for double‐integrator dynamics under fixed undirected/directed interaction in a sampled‐data setting (2010, methodology): “‡In [8, 17] (respectively, [10] in the next paragraph), i , i = 1, .”
- Distributed leaderless consensus algorithms for networked Euler–Lagrange systems (2009, methodology): “Current consensus algorithms primarily focus on vehicles with single-integrator kinematics (see Ren, Beard, and Atkins (2007), Olfati-Saber, Fax, and Murray (2007) and references therein), double-integrator dynamics (e.g. Lafferriere, Williams, Caughman, and Veerman 2005; Veerman, Lafferriere, Caugh”
- Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks (2009, background): “For agents with the double-integrator dynamics, consensus-related problems have been studied in [16] and [17].”
- Consensus in networked multi-agent systems via sampled control: Fixed topology case (2009, background): “topologies and time-varying delays [8], [9], [10], higherorder consensus [11], [12], [13], asynchronous consensus [14], [15], agreement with random networks [16], [17], finitetime consensus [18], [19] and so on.”
- Sampled-data discrete-time coordination algorithms for double-integrator dynamics under dynamic directed interaction (2010, background): “In particular, Ren and Cao (2008) studied two sampled-data discrete-time coordination algorithms corresponding to the continuous-time coordination algorithms in Ren and Atkins (2007) and Xie and Wang (2007), respectively.”