Closed-Loop Dynamics of Cooperative Vehicle Formations With Parallel Estimators and Communication

By Roy S. Smith, Fred Y. Hadaegh. 2007

143 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Guanrong Chen
2. Wenwu Yu
3. Wei Ren
4. Yongcan Cao
5. Jorge Cortés
6. Francesco Bullo
7. Sonia Martínez
8. Ziyang Meng

In Control and Systems Engineering

1. Guanrong Chen
2. Wenwu Yu
3. Yongcan Cao
4. Wei Ren
5. Ziyang Meng
6. Francesco Bullo
7. Sonia Martínez
8. Jorge Cortés

Citations in the corpus

• An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination (2012, methodology): “Main research in this topic has been reported in [ 163], [270]–[275], where the joint estimation and control problem was considered subject to disturbances [ 270], [272], [273] or without disturbances [ 163], [271], [274], [275].”
• Decentralized control: An overview (2008, background): “The dynamics of local estimator-controller scheme with communication among vehicles in cooperative formations are studied by Smith and Hadaegh (2007).”
• Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms (2009, background): “, 2009), formation stability (Tanner et al., 2004; Lafferriere et al., 2005; Kang et al., 2006; Dunbar and Murray, 2006; Smith and Hadaegh, 2007; Zheng et al., 2008), motion camouflage (Justh and Krishnaprasad, 2006), self-assembly (Klavins et al.”
• Decentralized finite-time sliding mode estimators and their applications in decentralized finite-time formation tracking (2010, background): “Recently, decentralized multi-vehicle cooperative control, including consensus [1] [2] [3] [4] [5] [6] [7], formation control [8] [9] [10] [11] [12], and flocking [13] [14] [15] [16], has drawn significant research attention in the control society.”
• Distributed Control of Robotic Networks (2009, background): “, 2009), formation stability (Tanner et al., 2004; Lafferriere et al., 2005; Kang et al., 2006; Dunbar and Murray, 2006; Smith and Hadaegh, 2007; Zheng et al., 2008), motion camouflage (Justh and Krishnaprasad, 2006), self-assembly (Klavins et al.”