Optimal and robust control of agent teams

Ref. prof. Roberto Sacile


This research focuses on distributed and decentralised control of agent teams, with specific references to recent findings [1], and applications in network reliability, transport [2] and energy domains [3]. The research will require a strong training in advanced control methodologies as well as the development of original methodological techniques to face these problems, mainly based on linear matrix inequalities application in system and control theory [4]. Deep knowledge of Matlab and related toolboxes in the control and simulation context is required. The case study will deal with reliability of transport networks.


  1. Gattami, A.,Bernhardsson,B., & Rantzer,A. (2012). Robust team decision theory. IEEE Transactions on Automatic Control, 57(3), 794–798.
  2. Bersani , S. Qiu, R. Sacile, M. Sallak, W. Schön, “Rapid, robust, distributed evaluation and control of train scheduling on a single line track”, Control Engineering Practice, 35, pp. 12–21, 2015.
  3. Dagdougui, R. Sacile, “Decentralized Control of the Power Flows in a Network of Smart Microgrids Modeled as a Team of Cooperative Agents”, IEEE Trans. Control Systems Technology, 2014, pp.510-519, vol. 22 (2).
  4. Boyd et al, Linear Matrix Inequalities in System and Control Theory, SIAM 1994.