These lecture notes provide a mathematical introduction to multi-agent dynamical systems, including their analysis via algebraic graph theory and their application to engineering design problems.
He is an award-winning mentor and teacher..
His research focuses on modeling, dynamics and control of multi-agent Network systems, with applications to robotic coordination, energy systems, and social networks. 2 corrects several typos and inconsistencies, including for example a few new figures, missing assumptions in two theorems, corrections to an incomplete proof, and several edits to the exercises (additions, removals and revisions).
About the Author: Francesco Bullo is professor of Mechanical Engineering and member of the Center for Control, Dyanamical Systems, and Computation at the University of California, Santa Barbara. 0 on May 1, 2018, revision 1.
Since revision 1. 2, dated January 1, 2019.
This book is now in its 1st version, revision 1.
The theoretical results are complemented by numerous examples arising from the analysis of physical and natural Systems and from the design of Network estimation, control, and optimization systems.
The focus is on fundamental dynamical phenomena over interconnected Network systems, including consensus and disagreement in averaging systems, stable equilibria in compartmental flow networks, and synchronization in coupled oscillators and networked control systems.
These lecture notes provide a mathematical introduction to multi-agent dynamical systems, including their analysis via algebraic graph theory and their application to engineering design problems
