Michael Zavlanos
Yoh Family Associate Professor of Mechanical Engineering and Materials Science

Michael M. Zavlanos specializes in the area of networked control systems, distributed control and optimization, hybrid control, with applications to robotic, sensor, communication, and biomolecular networks.

His research interests cover a range of topics in the emerging discipline of networked dynamical systems, which studies systems of physical agents interacting via a communication medium in search of joint control principles that determine network behavior.

This includes a focus on robotic and sensor networks, with applications in formation flying, communication maintenance or intruder detection, as well as on biological and social networks, whose structure and operations respectively determine the way in which many diseases are formed and information is spread. Particularly interested in hybrid solution techniques, on the interface of control theory with the discrete science of networks and graphs.

Current Research Interests

Control theory, optimization, and learning; in particular, robotics and autonomous systems, networked and distributed control systems, and cyber-physical systems.

Current Appointments & Affiliations

Contact Information

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