22 citations · 79 across the 13 of their papers we have counts for
6 papers · 1 filter
Near-Optimal Design of Safe Output Feedback Controllers from Noisy Data
Luca Furieri, Baiwei Guo, Andrea Martin +1
As we transition towards the deployment of data-driven controllers for black-box cyberphysical systems, complying with hard safety constraints becomes a primary concern. Two key as…
Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness
Baiwei Guo, Orcun Karaca, Sepide Azhdari +2
Actuator placement is a fundamental problem in control design for large-scale networks. In this paper, we study the problem of finding a set of actuator positions by minimizing a g…
A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees
Luca Furieri, Baiwei Guo, Andrea Martin +1
Recent work in data-driven control has revived behavioral theory to perform a variety of complex control tasks, by directly plugging libraries of past input-output trajectories int…
Finite-sample-based Spectral Radius Estimation and Stabilizability Test for Networked Control Systems
Liang Xu, Baiwei Guo, Giancarlo Ferrari-Trecate
In the analysis and control of discrete-time linear time-invariant systems, the spectral radius of the system state matrix plays an essential role. Usually, it is assumed that syst…
A Data-Driven Convex Programming Approach to Worst-Case Robust Tracking Controller Design
Liang Xu, Mustafa Sahin Turan, Baiwei Guo +1
This paper studies finite-horizon robust tracking control for discrete-time linear systems, based on input-output data. We leverage behavioral theory to represent system trajectori…
Non-conservative Design of Robust Tracking Controllers Based on Input-output Data
Liang Xu, Mustafa Sahin Turan, Baiwei Guo +1
This paper studies worst-case robust optimal tracking using noisy input-output data. We utilize behavioral system theory to represent system trajectories, while avoiding explicit s…