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A Generalized Plant Perspective on Linear-Convex Feedback Optimization
Fabian Jakob, Andrea Iannelli
Feedback optimization is a control approach for driving a dynamical system to the solution of an optimization problem by interconnecting the plant with an algorithm. Existing stabi…
Adaptive Time-Domain Harmonic Control for Noise-Vibration-Harshness Reduction of Electric Drives
Klaus Herburger, Fabian Jakob, David Gänzle +2
Reducing Noise, Vibration, and Harshness (NVH) in electric drives is crucial for applications such as electric vehicle drivetrains and heat-pump compressors, where strict NVH requi…
Sample-Efficient Model-Free Policy Gradient Methods for Stochastic LQR via Robust Linear Regression
Bowen Song, Sebastien Gros, Andrea Iannelli
Policy gradient algorithms are widely used in reinforcement learning and belong to the class of approximate dynamic programming methods. This paper studies two key policy gradient…
Hidden Convexity in Active Learning: A Convexified Online Input Design for ARX Systems
Nicolas Chatzikiriakos, Bowen Song, Philipp Rank +1
The goal of this work is to accelerate the identification of an unknown ARX system from trajectory data through online input design. Specifically, we present an active learning alg…
Robustness of Online Identification-based Policy Iteration to Noisy Data
Bowen Song, Andrea Iannelli
This article investigates the core mechanisms of indirect data-driven control for unknown systems, focusing on the application of policy iteration (PI) within the context of the li…
Convergence Guarantees of Model-free Policy Gradient Methods for LQR with Stochastic Data
Bowen Song, Andrea Iannelli
Policy gradient (PG) methods are the backbone of many reinforcement learning algorithms due to their good performance in policy optimization problems. As a gradient-based approach,…
Convergence and Robustness of Value and Policy Iteration for the Linear Quadratic Regulator
Bowen Song, Chenxuan Wu, Andrea Iannelli
This paper revisits and extends the convergence and robustness properties of value and policy iteration algorithms for discrete-time linear quadratic regulator problems. In the mod…
The Role of Identification in Data-driven Policy Iteration: A System Theoretic Study
Bowen Song, Andrea Iannelli
The goal of this article is to study fundamental mechanisms behind so-called indirect and direct data-driven control for unknown systems. Specifically, we consider policy iteration…