Necessary and Sufficient Conditions for Consensusability of Linear Multi-Agent Systems

By Cuiqin Ma, Ji-feng Zhang. 2010

699 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Mechanical 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. Qing-Long Han
2. Wenwu Yu
3. Guanrong Chen
4. Z. Duan
5. Wei Ren
6. Guanghui Wen
7. Yongcan Cao
8. Lei Ding

In Mechanical Engineering

1. Z. Duan
2. Guanghui Wen
3. Zhong-Ping Jiang
4. Jie Huang
5. Lihua Xie
6. Guanrong Chen
7. Wei Zhu
8. Wei Ren

Citations in the corpus

• An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination (2012, background): “Due to the fact that an infinitely large sampling period will cause no information exchange among the agents, the main research question is to find conditions on the sampling periodT , which might be time-varying, such that consensus can be achieved.”
• A new observer-type consensus protocol for linear multi-agent dynamical systems (2011, background): “Considering that controllability of linear systems is a fundamental problem in designing controller, consensus ability of multi-agent linear systems was formulated and investigated in [29].”
• An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems (2018, neutral): “is modeled by [25], [65]”
• A distributed event-triggered transmission strategy for sampled-data consensus of multi-agent systems (2014, background): “, Jadbabaie, Lin, and Morse (2003), Ma and Zhang (2010), Olfati-Saber andMurray (2004), Ren (2008), Ren and Beard (2005) and Yu, Chen, and Cao (2010). In many practical multi-agent systems, the bandwidth of the communication network and the power source of the agents are inevitably constrained.”
• Decentralized event-triggered consensus with general linear dynamics (2014, background): “The authors of Ma and Zhang (2010) established conditions underwhich protocolswill exist that achieve consensus.”
• Event-triggered communication and control of networked systems for multi-agent consensus (2017, neutral): “, Li, Duan, and Chen (2011), Li, Duan, Chen, and Huang (2010), Ma and Zhang (2010), Ren (2008b), Scardovi and Sepulchre (2009), Seo, Shim, and Back (2009), Su and Huang (2012) and Tuna (2008, 2009).”
• Stability of a Class of Linear Switching Systems with Applications to Two Consensus Problems (2011, background): “This class of linear switched systems (1) arises in studying both the leaderless consensus problem [14], [24]–[26] and the leader-following consensus problem [15] of the following class of multi-agent systems”
• Event-Based Leader-following Consensus of Multi-Agent Systems with Input Time Delay (2015, background): “Then, the conclusions follow from the idea of the proof of Theorem 1 in [23].”
• Network Topology and Communication Data Rate for Consensusability of Discrete-Time Multi-Agent Systems (2011, methodology): “It is fair to say that a similar approach has been adopted in [11], [22], [27] for the continuous-time case.”
• Event-based consensus of multi-agent systems with general linear models (2014, background): “…Ren & Beard, 2005; Zhu & Cheng, 2010), just to name a few, while some authors have also studied multi-agents with higher-dimensional linear models (Ma & Zhang, 2010; Su & ✩ The work is supported partly by National Natural Science Foundation of China under Grant 61004042, 61074026, partly by the…”