Flocking in Fixed and Switching Networks
By Herbert G. Tanner, Ali Jadbabaie, George Pappas. 2007
1,485 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Public Health, Environmental and Occupational Health
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In Computer Networks and Communications
In Public Health, Environmental and Occupational Health
Citations in the corpus
- On consensus in multi-agent systems with linear high-order agents (2008, background): “For a nice overview of recent results on the topic, see Ren et al. (2007); Olfati-Saber et al. (2007); Tanner et al. (2007) and the references therein.”
- Motion Coordination with Distributed Information (2007, positive): “Specifically, for groups of two or three agents, minimizers of Hcohe,G are configurations in which the distances between all neighboring agents are within the interval [R∗, R � ∗]. This objective function and its variations, which are used in [19] and [20] for the complete graph and in [ 16 ] for th”
- Formation control of VTOL Unmanned Aerial Vehicles with communication delays (2011, background): “…Lakehead University, Thunder Bay, Ontario, Canada, P7B 5E1 a r t i c l e i n f o Article history: Received 20 August 2010 Received in revised form 21 April 2011 Accepted 6 May 2011 Available online 21 September 2011 Keywords: Formation control VTOL aircraft Unmanned Aerial Vehicles Communication…”
- On H ∞ and H 2 performance regions of multi-agent systems ✩ (2011, methodology): “Flocking algorithms were investigated in Olfati-Saber (2006), Su, Wang, and Lin (2009) and Tanner, Jadbabaie, and Pappas (2007) for a group of autonomous agents.”
- Closed-Loop Dynamics of Cooperative Vehicle Formations With Parallel Estimators and Communication (2007, background): “A wide variety of performance requirements can be considered, from collective group behaviors (see, for example, [1]–[3]), to cooperative task allocation and path planning (see, for example, [4]–[6]), to precisely controlled coordination [7].”
- Distributed nonlinear control algorithms for network consensus (2008, background): “For details, see Chellaboina, Haddad, Hui, and Ramakrishnan (2006). The results of this section provide a generalization to Theorems 4 and 5 of Olfati-Saber and Murray (2004) which establish information consensus protocols for the special structure φij(xi, xj) = aij(xi − xj), i, j = 1, .”
- Decentralized Control of Connectivity for Multi-Agent Systems (2006, background): “Moreover the strength of the connection decreases smoothly with distance (see [6], [11], [16]).”
- Robust Consensus Controller Design for Nonlinear Relative Degree Two Multi-Agent Systems With Communication Constraints (2011, neutral): “[ 10 ] Y. I. Neimark, “Stability of Linearized Systems,” (in Russian)”
- Formation control: a review and a new consideration (2005, background): “A similar ideal was presented in [38], [39], where the shape of the formation is expressed in shape coordinates.”
- Distributed Coordinated Tracking With Reduced Interaction via a Variable Structure Approach (2012, methodology): “We use differential inclusions [20], [21] and nonsmooth analysis [22], [23] to analyze the stability of (1) using (6).”
- Flocking for multi-agent dynamic systems: algorithms and theory (2006, background): “A number of recent papers on flocking/swarming, [17, 50, 11], make a set of assumptions that lead to algorithms with some (or all) of the following properties: a) The algorithms are centralized and require that each agent interacts with every other agent.”
- Collective rotating motions of second-order multi-agent systems in three-dimensional space (2011, methodology): “investigated a method for decentralized stabilization of vehicle formations, while, in [16], Tanner et al.”
- Distributed leader-follower flocking control for multi-agent dynamical systems with time-varying velocities (2010, methodology): “Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal.”
- Distributed Coordination of Networked Fractional-Order Systems (2010, background): “Because many vehicles are modeled by double-integrator dynamics, consensus algorithms for double-integrator dynamics are studied in [5]–[10], to name a few.”
- Hybrid Control for Connectivity Preserving Flocking (2009, background): “Existing results on distributed consensus and flocking algorithms critically rely on maintaining a connected communication network among the agents, either for all time (as in [1], [2], [3]) or over sequences of bounded time intervals (as in [4], [5], [6]).”