4 citations · 5 across the 7 of their papers we have counts for
5 papers · 1 filter
Data-Driven Superstabilizing Control under Quadratically-Bounded Errors-in-Variables Noise
Jared Miller, Tianyu Dai, Mario Sznaier
The Error-in-Variables model of system identification/control involves nontrivial input and measurement corruption of observed data, resulting in generically nonconvex optimization…
Data-Driven Control of Positive Linear Systems using Linear Programming
Jared Miller, Tianyu Dai, Mario Sznaier +1
This paper presents a linear-programming based algorithm to perform data-driven stabilizing control of linear positive systems. A set of state-input-transition observations is coll…
Robust Data-Driven Safe Control using Density Functions
Jian Zheng, Tianyu Dai, Jared Miller +1
This paper presents a tractable framework for data-driven synthesis of robustly safe control laws. Given noisy experimental data and some priors about the structure of the system,…
Superstabilizing Control of Discrete-Time ARX Models under Error in Variables
Jared Miller, Tianyu Dai, Mario Sznaier
This paper applies a polynomial optimization based framework towards the superstabilizing control of an Autoregressive with Exogenous Input (ARX) model given noisy data observation…
Data-Driven Stabilizing and Robust Control of Discrete-Time Linear Systems with Error in Variables
Jared Miller, Tianyu Dai, Mario Sznaier
This work presents a sum-of-squares (SOS) based framework to perform data-driven stabilization and robust control tasks on discrete-time linear systems where the full-state observa…