Siddharth H. Nair  

prof_pic.jpg

Room 5109

2521 Hearst Avenue

Etcheverry Hall

Berkeley, CA 94709

Hi! I am a fifth-year Ph.D. student majoring in Controls at the Model Predictive Control Laboratory, UC Berkeley. I am advised by Prof. Francesco Borrelli.

My research focuses on developing (1) robust, (2) data-driven, and (3) computationally efficient algorithms for nonlinear MPC by using tools from nonlinear control, optimization and machine learning.

Prior to joining UC Berkeley, I received my Bachelor’s and Master’s degree from IIT Bombay in 2018 where I was fortunate to have been advised by Prof. Ravi Banavar and Prof. Arpita Sinha.

news

Jun 6, 2023 Our work “Learning for Online Mixed-Integer Model Predictive Control with Parametric Optimality Certificates” has been accepted for publication in IEEE L-CSS!
Jun 6, 2023 My new website is now live!

selected publications

  1. Collision avoidance for dynamic obstacles with uncertain predictions using model predictive control
    In 2022 IEEE 61st Conference on Decision and Control (CDC)
  2. ×
    Learning for Online Mixed-Integer Model Predictive Control with Parametric Optimality Certificates
    IEEE Control Systems Letters, 2023
  3. ×
    Robust Output-Lifted Learning Model Predictive Control
    arXiv preprint arXiv:2303.12127, 2023