Journals / Anadolu Üniversitesi Bilim ve Teknoloji Dergisi :A-Uygulamalı Bilimler ve Mühendislik / 2017 / Cilt: 18 - Sayı: 4

AN INTEGRAL CONNECTIVITY CONDITION FOR MULTI-EQUILIBRIA CONSENSUS IN NETWORKS EVOLVING OVER UNDIRECTED GRAPHS

Pages
842–849
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Theoretical results are verified by numerical simulations

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, we study the multi-equilibria consensus problem for a time-varying network of n agents where the agents are modeled as integrators.
📊
Key Findings & Data:Instead of the joint connectivity condition which is widely used in the literature, we propose an integral K connectivity condition that allows us to examine the network through a constant matrix.
💡
Conclusion & Impact:Theoretical results are verified by numerical simulations
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper, we study the multi-equilibria consensus problem for a time-varying network of n agents where the agents are modeled as integrators. Instead of the joint connectivity condition which is widely used in the literature, we propose an integral K connectivity condition that allows us to examine the network through a constant matrix. Based on this new concept, we present necessary and sufficient conditions on networks modeled with undirected graphs so that multiequilibrium consensus states are achieved. Theoretical results are verified by numerical simulations

🔖

Cite This Article

AKAR, M., ERKAN, Ö. F. (2022). AN INTEGRAL CONNECTIVITY CONDITION FOR MULTI-EQUILIBRIA CONSENSUS IN NETWORKS EVOLVING OVER UNDIRECTED GRAPHS. Anadolu Üniversitesi Bilim ve Teknoloji Dergisi :A-Uygulamalı Bilimler ve Mühendislik, Cilt: 18 - Sayı: 4, 842–849. https://ajindex.com/articles/438256

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (17)

  1. Beard RW, McLain TW, Goodrich MA, and Anderson EP. Coordinated target assignment and intercept for unmanned air vehicles. IEEE T Robotic Autom 2002; 18(6): 911-922
  2. Vicsek T, Czirók A, Ben-Jacob E, Cohen I, and Shochet O. Novel type of phase transition in a system of self-driven particles. Physical Review Letters 1995; 75(6): 1226
  3. Jadbabaie A, Lin J, and Morse AS. Coordination of groups of mobile autonomous agents using nearest neighbor rules. IEEE T Automat Contr 2003; 48(6):988-1001
  4. Moreau L. Stability of multiagent systems with time-dependent communication links. IEEE T Automat Contr 2005; 50(2): 169-182
  5. Ren W, Beard RW. Consensus seeking in multiagent systems under dynamically changing interaction topologies. IEEE T Automat Contr 2005; 50(5):655-661
  6. Olfati-Saber R, Murray, RM. Consensus problems in networks of agents with switching topology and time-delays. IEEE T Automat Contr 2004; 49(9):1520-1533
  7. Akar M, Shorten R. Distributed probabilistic synchronization algorithms for communication networks. IEEE T Automat Contr 2008; 53(1):389-393
  8. Cihan O, Akar M. Fastest mixing reversible Markov chains on graphs with degree proportional stationary distributions. IEEE T Automat Contr 2015; 60(1): 227-232
  9. Cihan O, Akar M. Effect of nonuniform varying delay on the rate of convergence in averagingbased consensus. Turk J Elec Eng & Comp Sci 2015; 23(4):1069-1080
  10. Yu J, Wang L. Group consensus of multi-agent systems with directed information exchange. Int J Syst Sci 2012; 43(2): 334-348
  11. Xia W, Cao M. Clustering in diffusively coupled networks. Automatica 2011; 47(11):2395-2405
  12. Qin J, Yu C. Cluster consensus control of generic linear multi-agent systems under directed topology with acyclic partition. Automatica 2013; 49(9):2898-2905
  13. Chen Y, Lü J, Han F, Yu X. On the cluster consensus of discrete-time multi-agent systems. Syst Control Lett 2011; 60(7):517-523
  14. Han Y, Lu W, Chen T. Cluster consensus in discrete-time networks of multiagents with intercluster nonidentical inputs. IEEE T Neural Netw Learn Syst 2013; 24(4): 566-578
  15. Qin J, Yu C, Anderson, BD. On leaderless and leader-following consensus for interacting clusters of second-order multi-agent systems. Automatica 2016; 74:214-221
  16. Erkan OF, Akar M. Distributed Consensus with Multiple Equilibria in Continuous-Time MultiAgent Networks under Undirected Topologies. IFAC-PapersOnLine 2015, 48(24):225-230
  17. Cao L, Zheng Y, Zhou Q. A n