4 citations · 9 across the 10 of their papers we have counts for
6 papers · 1 filter
Derivative-Free Data-Driven Control of Continuous-Time Linear Time-Invariant Systems
Alessandro Bosso, Marco Borghesi, Andrea Iannelli +2
This paper develops a data-driven stabilization method for continuous-time linear time-invariant systems with theoretical guarantees and no need for signal derivatives. The framewo…
End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data
Nicolas Chatzikiriakos, Robin Strässer, Frank Allgöwer +1
In this paper we propose an end-to-end algorithm for indirect data-driven control for bilinear systems with stability guarantees. We consider the case where the collected i.i.d. da…
Sample Complexity Bounds for Linear System Identification from a Finite Set
Nicolas Chatzikiriakos, Andrea Iannelli
This paper considers a finite sample perspective on the problem of identifying an LTI system from a finite set of possible systems using trajectory data. To this end, we use the ma…
A hybrid systems framework for data-based adaptive control of linear time-varying systems
Andrea Iannelli, Romain Postoyan
We consider the data-driven stabilization of discrete-time linear time-varying systems. The controller is defined as a linear state-feedback law whose gain is adapted to the plant…
On the Regret of Recursive Methods for Discrete-Time Adaptive Control with Matched Uncertainty
Aren Karapetyan, Efe C. Balta, Anastasios Tsiamis +2
Continuous-time adaptive controllers for systems with a matched uncertainty often comprise an online parameter estimator and a corresponding parameterized controller to cancel the…
Learning Soft Constrained MPC Value Functions: Efficient MPC Design and Implementation providing Stability and Safety Guarantees
Nicolas Chatzikiriakos, Kim P. Wabersich, Felix Berkel +2
Model Predictive Control (MPC) can be applied to safety-critical control problems, providing closed-loop safety and performance guarantees. Implementation of MPC controllers requir…