Tuning of multivariable model predictive controllers through expert bandit feedback
FEB 2020 – International Journal of Control @ Taylor & Francis

Robust stability of a class of Networked Control Systems
SEP 2016 – Automatica @ ELSEVIER

Packetized MPC with dynamic scheduling constraints and bounded packet dropouts
JAN 2014 – Automatica @ ELSEVIER


A machine learning approach for tuning model predictive controllers
2018 – 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)

Gaussian Processes with Monotonicity Constraints for Preference Learning from Pairwise Comparisons
2018 – IEEE Conference on Decision and Control (CDC)

Spatial Iterative Learning Control: Output Tracking
2017 – 20th IFAC World Congress

Spatial Iterative Learning Control: Systems with input saturation
2017 – American Control Conference (ACC)

Uniform Global Asymptotic Stability of Networked Control Systems affected with packet dropouts and scheduling issues
2015 – 54th IEEE Conference on Decision and Control (CDC)

Controllability of Discrete-time Networked Control Systems with Try Once Discard Protocol
2014 – 19th IFAC World Congress

Robustness of networked control systems with multiple actuator-links and bounded packet dropouts
2013 – 52nd IEEE Conference on Decision and Control

Disturbance compensation in digital sliding mode
2011 – IEEE EUROCON – International Conference on Computer as a Tool

A market based approach for complex task allocation for wireless network based multi-robot system
2009 – XXII International Symposium on Information, Communication and Automation Technologies