Michael M. Zavlanos
Mary Milus Yoh and Harold L. Yoh, Jr. Associate Professor
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
- Mary Milus Yoh and Harold L. Yoh, Jr. Associate Professor
- Associate Professor in the Department of Mechanical Engineering and Materials Science
- Associate Professor in the Department of Electrical and Computer Engineering
- Assistant 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
Networked control systems, distributed control and optimization, hybrid control, with applications to robotic, sensor, communication, and biomolecular networks.
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
- ECE 382: Linear Control Systems
- ECE 590: Advanced Topics in Electrical and Computer Engineering
- ME 344L: Control of Dynamic Systems
- ME 555: Advanced Topics 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
- 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)
- 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].
- Guo, M; Zavlanos, MM, Multirobot Data Gathering under Buffer Constraints and Intermittent Communication, Ieee Transactions on Robotics, vol 34 no. 4 (2018), pp. 1082-1097 [10.1109/TRO.2018.2830370] [abs].
- Kantaros, Y; Zavlanos, MM, Sampling-Based Optimal Control Synthesis for Multi-Robot Systems under Global Temporal Tasks, Ieee Transactions on Automatic Control (2018) [10.1109/TAC.2018.2853558] [abs].