• Francesco Sorrentino received a master's degree in Industrial Engineering from the University of Naples Federico II (Italy) in 2003
  • Ph.D. in Control Engineering from the University of Naples Federico II (Italy) in 2007.
  • Expertise is in dynamical systems and controls, with particular emphasis on nonlinear dynamics and adaptive decentralized control.
  • 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.
  • Research is funded by the National Science Foundation, the Office of Naval Research, and the Defense Threat Reduction Agency
  • He has published more than 30 papers in International Scientific Peer Reviewed Journals

Additional areas of interest
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. Investigation of 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.

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