Title :
Synchronization and pattern formation in diffusively coupled systems
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, Berkeley, CA, USA
Abstract :
We discuss spatially distributed networks that exhibit a diffusive coupling structure, common in biomolecular networks and multi-agent systems. We first review conditions that guarantee spatial homogeneity of the solutions of these systems, referred to as “synchrony.” We next point to structural system properties that allow diffusion-driven instability - a phenomenon critical to pattern formation in biology - and show that an analogous instability mechanism exists in multi-agent systems. The results reviewed in the paper also demonstrate the role played by the Laplacian eigenvalues in determining the dynamical properties of diffusively coupled systems. We conclude with a discussion of how these eigenvalues can be assigned with a design of node and edge weights of a graph, and present a formation control example.
Keywords :
biology; eigenvalues and eigenfunctions; graph theory; multi-agent systems; network theory (graphs); synchronisation; Laplacian eigenvalue; analogous instability mechanism; biomolecular network; diffusion-driven instability phenomenon; diffusive coupling structure; diffusively coupled system; graph edge weight; graph node; multiagent system; pattern formation; spatially distributed network; synchronization; synchrony condition; Biology; Eigenvalues and eigenfunctions; Jacobian matrices; Laplace equations; Oscillators; Synchronization; Vectors;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6425824