8 citations · 11 across the 7 of their papers we have counts for
7 papers
On the Effect of Quadratic Regularization in Direct Data-Driven LQR
Manuel Klädtke, Feiran Zhao, Florian Dörfler +1
This paper proposes an explainability concept for direct data-driven linear quadratic regulation (LQR) with quadratic regularization. Our perspective follows the parametric effect…
On data usage and predictive behavior of data-driven predictive control with 1-norm regularization
Manuel Klädtke, Moritz Schulze Darup
We investigate the data usage and predictive behavior of data-driven predictive control (DPC) with 1-norm regularization. Our analysis enables the offline removal of unused data an…
Towards explainable data-driven predictive control with regularizations
Manuel Klädtke, Moritz Schulze Darup
Data-driven predictive control (DPC), using linear combinations of recorded trajectory data, has recently emerged as a popular alternative to traditional model predictive control (…
Towards a unifying framework for data-driven predictive control with quadratic regularization
Manuel Klädtke, Moritz Schulze Darup
Data-driven predictive control (DPC) has recently gained popularity as an alternative to model predictive control (MPC). Amidst the surge in proposed DPC frameworks, upon closer in…
Implicit predictors in regularized data-driven predictive control
Manuel Klädtke, Moritz Schulze Darup
We introduce the notion of implicit predictors, which characterize the input-(state)-output prediction behavior underlying a predictive control scheme, even if it is not explicitly…
Convex NMPC reformulations for a special class of nonlinear multi-input systems with application to rank-one bilinear networks
Manuel Klädtke, Moritz Schulze Darup
We show that a special class of (nonconvex) NMPC problems admits an exact solution by reformulating them as a finite number of convex subproblems, extending previous results to the…
Convex reformulations for a special class of nonlinear MPC problems
Manuel Klädtke, Moritz Schulze Darup
We show how the solution to NMPC problems for a special type of input-affine discrete-time systems can be obtained by reformulating the underlying non-convex optimal control proble…