Control Using Distributed Information

Researchers: Hamed Sadeghi, Anders Rantzer

Funding: The Knut and Alice Wallenberg Foundation

Motivated by applications in infrastructure networks (mainly traffic and transportation) we are studying how network flows can be optimized using distributed controllers. Existing results for linear systems with an H-infinity objective will be generalized to accommodate non-linear flow constraints and other convex objectives. Goals:

  • Scalable methodology for control of network flow control
  • Stable and robust systems optimal performance
  • Apply methods to traffic/transportation systems

During 2017, we studied a networked PI control system with capacity constraints. In particular, we proposed an anti-windup scheme for a class of control problems with constraints on the control signal. This class, includes networked systems, where each node contains a subsystem and each edge comprise a control action. The networked anti-windup control system is proposed to address the issues caused by integrator state saturation. We showed that the suggested control scheme is input-output stable. Furthermore, we provided a numerical analysis for robust performance of the suggested control system.

The project is a subproject of WASP