Venkatraman Renganathan

Venkatraman Renganathan

Postdoctoral Fellow - Dept. of Automatic Control - LTH, Lund University

Distributed Adaptive Control

My current research is about analysing and designing adaptive controls for uncertain systems. The uncertainty in selecting the true dynamics from the known finite number of possible dynamics demands a learning based controller. One such controller is the famous minimax adaptive controller developed initially by Tamer Basar and further extended by Anders Rantzer. Earlier I analysed the regret of this controller to quantify the effort needed to overcome the lack of knowledge of true dynamics by the minimax adaptive controller. Further, I also explored the possibility of designing distributed version of the minimax adaptive controller to control uncertain networked systems. Currently, I am exploring the option of expanding the horizon of adaptive control in the network control setting with output model.

  1. V. Renganathan, et.al., Design & Online Learning Analysis of Distributed Minimax Adaptive Control For Uncertain Networks, Journal manuscript in preparation, 2023.
  2. V. Renganathan, A. Rantzer, O. Kjellqvist, Distributed Adaptive Control For Uncertain Networks, Submitted for European Control Conference, 2024.
  3. V. Renganathan, A. Iannelli, A. Rantzer, Online Learning Analysis for Minimax Adaptive Control, Accepted for IEEE CDC, 2023.