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.
Appointments and Affiliations
- Yoh Family Associate Professor of Mechanical Engineering and Materials Science
- Associate Professor in the Department of Mechanical Engineering and Materials Science
- Associate Professor in the Department of Electrical and Computer Engineering
- Associate Professor of Computer Science
- Associate of the Duke Initiative for Science & Society
- Office Location: 188 Hudson Hall, Box 90300, Durham, NC 27708
- Office Phone: (919) 660-5528
- Email Address: firstname.lastname@example.org
- Ph.D. University of Pennsylvania, 2008
Control theory, optimization, and learning; in particular, robotics and autonomous systems, networked and distributed control systems, and cyber-physical systems.
Awards, Honors, and Distinctions
- Young Investigator Program Award. Office of Naval Research. 2014
- Faculty Early Career Development (CAREER) Program. National Science Foundation. 2012
- Faculty Early Career Development (CAREER) Program. National Science Foundation. 2011
- CEE 627: Linear System Theory
- COMPSCI 391: Independent Study
- ECE 382: Linear Control Systems
- ECE 382L: Control of Dynamic Systems
- ECE 590: Advanced Topics in Electrical and Computer Engineering
- EGRMGMT 591: Special Readings in Engineering Management
- ME 344L: Control of Dynamic Systems
- ME 391: Undergraduate Projects in Mechanical Engineering
- ME 591: Research Independent Study in Mechanical Engineering or Material Science
- ME 592: Research Independent Study in Mechanical Engineering or Material Science
- ME 627: Linear System Theory
In the News
- Duke Adds 21 Faculty to Distinguished Faculty Rank (May 7, 2019)
- The Challenge: Controlling Drones After You Lose Communication With Them (Dec 6, 2018 | Pratt School of Engineering)
- Four Faculty Named Distinguished Professors (Jun 29, 2018)
- Kantaros, Y; Zavlanos, MM, Sampling-based optimal control synthesis for multirobot systems under global temporal tasks, Ieee Transactions on Automatic Control, vol 64 no. 5 (2019), pp. 1916-1931 [10.1109/TAC.2018.2853558] [abs].
- Ma, WJ; Oh, C; Liu, Y; Dentcheva, D; Zavlanos, MM, Risk-averse access point selection in wireless communication networks, Ieee Transactions on Control of Network Systems, vol 6 no. 1 (2019), pp. 24-36 [10.1109/TCNS.2018.2792309] [abs].
- Freundlich, C; Zhang, Y; Zavlanos, MM, Distributed Hierarchical Control for State Estimation with Robotic Sensor Networks, Ieee Transactions on Control of Network Systems, vol 5 no. 4 (2018), pp. 2023-2035 [10.1109/TCNS.2017.2782481] [abs].
- Guo, M; Zavlanos, MM, Probabilistic Motion Planning Under Temporal Tasks and Soft Constraints, Ieee Transactions on Automatic Control, vol 63 no. 12 (2018), pp. 4051-4066 [10.1109/TAC.2018.2799561] [abs].
- Lee, S; Zavlanos, MM, Approximate projection methods for decentralized optimization with functional constraints, Ieee Transactions on Automatic Control, vol 63 no. 10 (2018), pp. 3248-3260 [10.1109/TAC.2017.2778696] [abs].