Francesco Sorrentino

Francesco Sorrentino (Senior Member, IEEE) received the master's degree in industrial engineering and the Ph.D. degree in control engineering from the University of Naples Federico II, Naples, Italy, in 2003 and 2007, respectively. His expertise is in dynamical systems and controls, with particular emphasis on nonlinear dynamics and adaptive decentralized control. His work includes studies on dynamics and control of complex dynamical networks and hypernetworks, adaptation in complex systems, sensor adaptive networks, coordinated autonomous vehicles operating in a dynamically changing environment, and identification of nonlinear systems. He has authored or coauthored more than 50 papers in international scientific peer-reviewed journals. His research interests include applying the theory of dynamical systems to model, analyze, and control the dynamics of complex distributed energy systems such as power networks and smart grids. Subjects of the current investigation are evolutionary game theory on networks (evolutionary graph theory), the dynamics of large networks of coupled neurons, and the use of adaptive techniques for dynamical identification of communication delays between coupled mobile platforms.