4 papers
Data-Driven Robust Reinforcement Learning Control of Uncertain Nonlinear Systems: Towards a Fully-Automated, Insulin-Based Artificial Pancreas
Alexandros Tanzanakis, John Lygeros
In this paper, a novel robust tracking control scheme for a general class of discrete-time nonlinear systems affected by unknown bounded uncertainty is presented. By solving a para…
Multi-Step Optimal Tracking Control of Unknown Nonzero-Sum Games based on Least Squares and Linear Programming: An Application to a Fully-Automated, Dual-Hormone Artificial Pancreas
Alexandros Tanzanakis, John Lygeros
We consider the problem of optimal tracking control of unknown discrete-time nonlinear nonzero-sum games. The related state-of-art literature is mostly focused on Policy Iteration…
Constrained Optimal Tracking Control of Unknown Systems: A Multi-Step Linear Programming Approach
Alexandros Tanzanakis, John Lygeros
We study the problem of optimal state-feedback tracking control for unknown discrete-time deterministic systems with input constraints. To handle input constraints, state-of-art me…
Data-Driven Control of Unknown Systems: A Linear Programming Approach
Alexandros Tanzanakis, John Lygeros
We consider the problem of discounted optimal state-feedback regulation for general unknown deterministic discrete-time systems. It is well known that open-loop instability of syst…