Multi-Agent Coordination by Decentralized Estimation and Control
By Penghui Yang, Randy A. Freeman, Kevin M. Lynch. 2008
334 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Mechanical Engineering, Public Health, Environmental and Occupational Health
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In Computer Networks and Communications
In Mechanical Engineering
In Public Health, Environmental and Occupational Health
Citations in the corpus
- An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination (2012, background): “Main research on this topic has been reported in [118]–[121], where the joint estimation and control problem was considered subject to disturbances [118], [119] or without disturbances [120], [121].”
- Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms (2009, background): “Regarding distributed motion coordination algorithms, much progress has been made on collective pattern formation (Suzuki and Yamashita, 1999; Belta and Kumar, 2004; Justh and Krishnaprasad, 2004; Sepulchre et al., 2007; Paley et al., 2007; Yang et al., 2008), flocking (Olfati-Saber, 2006; Lee and S”
- Distributed average computation for multiple time‐varying signals with output measurements (2016, methodology): “Average computation problem has been widely applied in multi-agent coordination [11, 12] and distributed sensor fusion [13, 14].”
- Consensus of Hybrid Multi-Agent Systems (2015, neutral): “Classic multiagent coordination of interests include consensus [1], flocking [2], containment control [3], formation control [4], coverage control [5], and distributed estimation [6].”
- Decentralized Parameter Estimation by Consensus Based Stochastic Approximation (2007, neutral): “, [4], [5], [6].”
- Distributed Control of Robotic Networks (2009, background): “Regarding distributed motion coordination algorithms, much progress has been made on collective pattern formation (Suzuki and Yamashita, 1999; Belta and Kumar, 2004; Justh and Krishnaprasad, 2004; Sepulchre et al., 2007; Paley et al., 2007; Yang et al., 2008), flocking (Olfati-Saber, 2006; Lee and S”
- Network Topology and Communication Data Rate for Consensusability of Discrete-Time Multi-Agent Systems (2011, background): “Distributed coordination of multiple agents has attracted considerable interest in various scientific communities due to broad applications in many areas including formation control [11], [42], distributed sensor networks [7], [8], flocking [30], [32], distributed computation [25], and synchronizati”
- Discrete-time dynamic average consensus (2010, background): “Key words: Consensus algorithms, multi-agent systems, cooperative control”
- Decentralized Environmental Modeling by Mobile Sensor Networks (2008, background): “As a result, the control laws influence the estimates, and the estimates influence the control laws, making the coupled stability of these interacting systems a fundamental issue, studied in [13] and [46].”
- Decentralized finite-time sliding mode estimators and their applications in decentralized finite-time formation tracking (2010, methodology): “In [40], a proportional and derivative (PI) based decentralized estimation method was proposed for multi-agent coordination.”
- Sampled-data discrete-time coordination algorithms for double-integrator dynamics under dynamic directed interaction (2010, background): “…control (Corte´s, Martı´nez, Karatas, and Bullo 2004), flocking (Olfati-Saber 2006; Tanner, Jadbabaie, and Pappas 2007), distributed estimation (Yang, Freeman, and Lynch 2008), and consensus (Olfati-Saber, Fax, and Murray 2007; Ren, Beard, and Atkins 2007), has received significant attention…”
- Multi‐vehicle coordination for double‐integrator dynamics under fixed undirected/directed interaction in a sampled‐data setting (2010, background): “Examples include formation control [1], coverage control [2], flocking [3, 4], distributed estimation [5], and consensus [6].”