Passivity as a Design Tool for Group Coordination

By Murat Arcak. IEEE Transactions on Automatic Control, 2007

671 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/254d3c998c9778be2db4ee86d09cabac8bca2d66

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In Computer Networks and Communications

In Control and Systems Engineering

Citations in the corpus

A Survey on Aerial Swarm Robotics (2018, methodology): “The passivity of the input– output dynamics [67]–[69] is commonly used to analyze the stability of networked nonlinear systems that have both the Laplacian matrix [ L in (4)] and the nonlinear dynamical terms [e.g., convection terms of (3) or the Lagrangian form in (5)].”
Synchronization in networks of identical linear systems (2008, background): “Assumptions A1 and A2 below lead to a timevarying extension of the results in [8] and [19] in the special case of linear systems.”
Effects of Delay in Multi-Agent Consensus and Oscillator Synchronization (2010, neutral): “[ 6 ] A. Bemporad, M. Morari, V. Dua, and E. N. Pistikopoulos, “The ex-”
LQR-based coupling gain for synchronization of linear systems (2008, background): “It has also been shown that passivity theory can be useful in studying stability provided that the interconnection is symmetric [3, 17, 20].”
Conditions for Synchronizability in Arrays of Coupled Linear Systems (2008, background): “It has also been shown that passivity theory can be useful in studying stability provided that the coupling is symmetric [4, 19, 22].”
On robust control algorithms for nonlinear network consensus protocols (2008, background): “In contrast to [11], which considers consensus protocols for nonlinear systems using set stability notions, [7, 8] and the present paper build on the results of [9, 10] and give semistable stabilization results for nonlinear network dynamical systems.”
Adaptive motion coordination: Using relative velocity feedback to track a reference velocity (2009, methodology): “To achieve objectives B1 and B2, Arcak (2007) employs the feedback law”
Event based agreement protocols for multi-agent networks (2013, neutral): “Numerous contributions have been given in the literature for multi-agent systems by research papers (Arcak, 2007; Cortés, 2008; Jadbabaie, Lin, & Morse, 2003; Lin, Broucke, & Francis, 2004; Moreau, 2005; Olfati-Saber & Murray, 2004; Tanner, Jadbabaie, & Pappas, 2007; Xiao & Wang, 2008) and monograph”
Synchronization in complex networks of phase oscillators: A survey (2014, background): “In the case of linear or passive systems, state or output synchronization are well understood; see for example, Arcak (2007), Bürger, Zelazo, and Allgöwer (2013), Dörfler and Bullo (2011), Lunze (2012) and Wieland (2010).”
Linear Time Average Consensus on Fixed Graphs and Implications for Decentralized Optimization and Multi-Agent Control (2014, positive): “Our assumptions are closest to some of the problems considered in [73, 44, 3] which studied more sophisticated variations of this setup.”
Consensus of Multiagent Systems and Synchronization of Complex Networks: A Unified Viewpoint (2016, background): “Reference[1] proposed a passivity-based design framework to deal with the group coordination problem, where both fixed and time-varying communication structures were considered.”
Distributed Event-Triggered Control for Multi-Agent Systems (2012, background): “Several results concerning multi-agent cooperative control have appeared in the recent literature involving agreement or consensus algorithms [20], [12],[23], formation control [5], [4], [8], [2] and distributed estimation [21],[25].”
Synchronization of Networks of Nonidentical Euler-Lagrange Systems With Uncertain Parameters and Communication Delays (2011, background): “It may be argued that fully actuated systems are full-state linearizable, and the basic results of [13] would be applicable.”