230 citations · 230 across the 1 of their papers we have counts for
21 papers
Beyond Asymptotics: Targeted exploration with finite-sample guarantees
Janani Venkatasubramanian, Johannes Köhler, Frank Allgöwer
In this paper, we introduce a targeted exploration strategy for the non-asymptotic, finite-time case. The proposed strategy is applicable to uncertain linear time-invariant systems…
Output-feedback model predictive control under dynamic uncertainties using integral quadratic constraints
Lukas Schwenkel, Johannes Köhler, Matthias A. Müller +1
In this work, we propose an output-feedback tube-based model predictive control (MPC) scheme for linear systems under dynamic uncertainties that are described via integral quadrati…
Robust targeted exploration for systems with non-stochastic disturbances
Janani Venkatasubramanian, Johannes Köhler, Mark Cannon +1
We propose a novel targeted exploration strategy designed specifically for uncertain linear time-invariant systems with energy-bounded disturbances, i.e., without any assumptions o…
Robust peak-to-peak gain analysis using integral quadratic constraints
Lukas Schwenkel, Johannes Köhler, Matthias A. Müller +1
This work provides a framework to compute an upper bound on the robust peak-to-peak gain of discrete-time uncertain linear systems using integral quadratic constraints (IQCs). Such…
Robust output feedback model predictive control using online estimation bounds
Johannes Köhler, Matthias A. Müller, Frank Allgöwer
We present a framework to design nonlinear robust output feedback model predictive control (MPC) schemes that ensure constraint satisfaction under noisy output measurements and dis…
Stability and performance in MPC using a finite-tail cost
Johannes Köhler, Frank Allgöwer
In this paper, we provide a stability and performance analysis of model predictive control (MPC) schemes based on finite-tail costs. We study the MPC formulation originally propose…