Lyapunov-Based Approach to Multiagent Systems With Switching Jointly Connected Interconnection

By Yiguang Hong, Lixin Gao, DaiZhan Cheng, Jiangping Hu. IEEE Transactions on Automatic Control, 2007

483 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/42aa2aa8c9e470276ca7b531d965e1f1007d5706

How researchers see this paper

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In Computer Networks and Communications

1. Guanrong Chen
2. Youfeng Su
3. Jie Huang
4. Housheng Su
5. Zongli Lin
6. James Lam
7. Michael Z. Q. Chen
8. Yongnan Jia

In Control and Systems Engineering

1. Youfeng Su
2. Jie Huang
3. Guanrong Chen
4. Yiguang Hong
5. Yongnan Jia
6. Zhiyong Chen
7. Peng Lin
8. Xiaoli Wang

In Molecular Biology

1. Yongnan Jia
2. Peng Lin
3. Wei Ni
4. DaiZhan Cheng
5. Guanrong Chen
6. Yiguang Hong
7. Chao Zhai
8. Zongli Lin

Citations in the corpus

• Global target aggregation and state agreement of nonlinear multi-agent systems with switching topologies (2009, background): “Many efforts have been made to handle multi-agent controls with dynamic topologies (Hong, Hu, & Gao, 2006; Olfati-Saber & Murray, 2004; Ren & Beard, 2005; Tanner, Jadbabaie, & Pappas, 2003).”
• Semi-Global Leader-Following Consensus of Linear Multi-Agent Systems With Input Saturation via Low Gain Feedback (2013, background): “Consensus has been studied for many different agent dynamics including single-integrator kinematics [22]–[25], double-integrator dynamics [26]–[29], high-order-integrator dynamics [30], linear dynamics [31]–[38], and nonlinear dynamics [39]–[41].”
• Leader-following consensus of multi-agent systems under fixed and switching topologies (2010, methodology): “In an endeavor to better tackle the control problems, tools from graph theory [18], stochastic matrix analysis [6], system theory such as Lyapunov functions [19,20] and set-valued Lyapunov theory [16], contraction theory [21–23], passivity theory [24–26] etc.”
• Finite-Time Consensus for Multi-Agent Networks with Second-Order Agent Dynamics (2008, background): “In some applications, a team of agents are required to agree upon certain quantities of interest, which is often called consensus or agreement problem (Cortés (2006); Hong et al. (2007); Ren et al. (2005)).”
• Flocking of Multi-Agents With a Virtual Leader (2009, methodology): “For example, graph theory [14], [15] and Lyapunov-based approach [16] have been used to investigate consensus (alignment) problem, local attractive/repulsive potential between neighboring agents to deal with separation and cohesion problem [17], [18], and artificial potentials [19]–[21] and gyroscop”
• Consensus of a Class of Second-Order Multi-Agent Systems With Time-Delay and Jointly-Connected Topologies (2010, methodology): “Remark 2: To analyze the stability of multi-agent systems, there are many other possible approaches such as the Lyapunov-based approaches [5], [6], [11], [15], [16] and the approaches based on the properties of matrices [2]–[4], [7]–[10], [21].”
• A General Alignment Repulsion Algorithm for Flocking of Multi-Agent Systems (2011, methodology): “, [2]) which is cited below for convenience.”
• Distributed Observers Design for Leader-Following Control of Multi-Agent Networks (Extended Version) (2017, background): “Many interesting agent-related problems are under investigation and leader-following is one of the main research topics (Olfati-Saber, 2006; Shi, Wang, & Chu, 2006; Hong, et al , 2007).”
• Cooperative Output Regulation of Linear Multi-Agent Systems (2012, background): “Remark 8: The digraph in other papers such as those in [5], [10], [18] is dictated by the information exchange of the leader system (2) and the follower system (1).”