Distributed Control of Robotic Networks
By Francesco Bullo. 2009
830 citations recorded by the source corpus.
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Citations in the corpus
- Distributed Coordinated Tracking With a Dynamic Leader for Multiple Euler-Lagrange Systems (2011, background): “There has been a great interest in distributed control of multi-agent systems dueto manypotential applications.Examplesof interesting research directions include coverage control, consensus, formation control,andflocking(see,e.g.,[1]‐[ 3 ]andreferencestherein).Theseproblems often focus on two cases,”
- Distributed Continuous-Time Convex Optimization on Weight-Balanced Digraphs (2012, background): “rce localization, and robust estimation, and has been intensively studied in recent years, see e.g. [1], [2], [3], [4], [5], [6], [11]. Most of these works build on consensus-based dynamics [7], [8], [9], [10] to design discrete-time algorithms that find the solution of the optimization problem. A re”
- Synchronization in complex networks of phase oscillators: A survey (2014, background): “, 2007; Strogatz, 2001; Suykens & Osipov, 2008), and consensus and its applications (Bullo et al., 2009; Garin & Schenato, 2010; Mesbahi & Egerstedt, 2010; Olfati-Saber et al., 2007; Ren et al., 2007).”
- Synchronization and power sharing for droop-controlled inverters in islanded microgrids (2012, unknown): “The closed-loop dynamics resulting from the DAPI con-† The presented results extend to discrete time and asynchronous communication, see [5]. troller (15)–(16) are given by 0 The following theorem (see Appendix A for the proof) establishes local stability of the desired equilibrium of (17)–(19) as…”
- Graph-theoretic connectivity control of mobile robot networks (2011, background): “Discrete-time approaches are discussed in [36], [49], and [50], while [51]–[56] rely on local gradients that may also incorporate switching in the case of link additions.”
- Distributed convex optimization via continuous-time coordination algorithms with discrete-time communication (2014, unknown): “We briefly review basic concepts from algebraic graph theory following [Bullo et al., 2009].”
- Discontinuities and hysteresis in quantized average consensus (2010, unknown): “Recall the following result, which can be derived from [4, Theorem 1.37] and [9, Formula (1) and Section 2.2].”
- Distributed Coordinated Tracking With Reduced Interaction via a Variable Structure Approach (2012, background): “The motivation behind multivehicle cooperative control is that a group of vehicles working cooperatively can achieve great benefits including low cost, high adaptivity, and easy maintenance [2]–[6].”
- Necessary Optimality Conditions for Optimal Control Problems in Wasserstein Spaces (2021, background): “ensembles [14], swarms and flocking structures in the animal kingdom [22], opinion dynamics on networks [7] and pedestrian flows [21].”
- Concurrent learning for convergence in adaptive control without persistency of excitation (2010, background): “The problem of controlling such networked teams has become highly relevant as advances in sensing and processing enable compact distributed systems with wide ranging applications, including networked Unmanned Aerial Systems (UAS), decentralized battlefield negotiation, decentralized smart-grid techn”
- A Proximal Gradient Algorithm for Decentralized Composite Optimization (2015, background): “These advantages lead to successful applications of decentralized optimization in robotic networks [14], [15], wireless sensor networks [4], [16], smart grids [17], [18], and distributed machine learning systems [19], [20], just to name a few.”
- Continuous and discontinuous opinion dynamics with bounded confidence (2012, background): “Indeed, graph theory provides an effective tool to model interactions between agents and its use is becoming common both in engineering [4, 17] and in economics and social sciences [11].”