During synchronization of networked dynamical systems, the problem of drifting clocks and non-identical sampling times is known to cause problems regarding stability and performance. We concentrate on accurate modeling of these systems as well as analyzing their behavior. A particular focus is the problem of robust stability with respect to sampling rates. Methods for robust design and fault detection in such systems in the presence of synchronization errors are also a key concern.

Network congestion control using control theoretic methods are also been investigated under this area. Most of the work has concentrated on explicit rate feedback in ATM networks (ABR option). A particular focus of this work is the accurate modeling of the communication link using dynamical system models.