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Invited Session Series on Learning-based Control

Organizers:
external pageAngela P. Schoellig (University of Toronto, Canada)
external pageSebastian Trimpe (RWTH Aachen University, Germany)
Melanie N. Zeilinger (ETH Zürich, Switzerland)
external pageMatthias Müller (Leibniz University Hannover, Germany)

Data science and machine learning have demonstrated tremendous success in the last decades in applications such as image recognition, recommender systems, or question answering. Compared to these applications, which can largely be subsumed as static problems, learning-based control systems take a special role within the world of statistical and machine learning. The coupling of a learning algorithm with a control loop requires a combined treatment as a dynamic process and raises fundamental questions about stability, robustness, and safety, which are generally less critical in most traditional application areas of machine learning. In order to leverage the potential of data-based and learning methods for control, we therefore believe that principled approaches integrating machine learning and control theory are needed, which extend beyond the methods and tools of the individual disciplines.

Based on the increasing interest in this domain, we have started a new Invited Session Series on Learning-based Control taking place yearly at the IEEE Conference on Decision and Control (CDC). The sessions in 2016 through 2023 were a great success and we are looking forward to your contributions and the next session at CDC'24. Please do not hesitate to contact us if you have any questions.

It is our pleasure to invite experts in the area to contribute a paper to the Invited Session on Learning-based Control at CDC 2024.    

a.schoellig

Angela Schoellig,
Angela Schoellig is an Assistant Professor at the University of Toronto Institute for Aerospace Studies (UTIAS), where she heads the Dynamic Systems Lab. She is also an Associate Director of the Center for Aerial Robotics Research and Education (CARRE) at the University of Toronto. With her team, she conducts research at the interface of robotics, controls and machine learning. Her goal is to enhance the performance and autonomy of robots by enabling them to learn from past experiments and from each other.

Sebastian Trimpe, external page
Sebastian is a Full Professor and Director of the Institute for Data Science in Mechanical Engineering (DSME) at RWTH Aachen University, Germany. DSME focusses on fundamental research at the intersection of control, machine learning, data science, and distributed systems, as well as innovative applications in cyber-physical systems, robotics, and industrycollaborations.


M.Zeilinger

Melanie Zeilinger,
Melanie is an Assistant Professor at the Department of Mechanical and Process Engineering at ETH Zurich, where she is leading the Intelligent Control Systems group at the Institute for Dynamic Systems and Control. Her research interests are centered around real-time and distributed control and optimization, as well as safe learning-based control, with applications to human-in-the-loop control.

M.Zeilinger

Matthias Müller,
Matthias is Full Professor and Director of the Institute of Automatic Control at the Leibniz University Hannover, Germany. His research interests include nonlinear control and estimation, model predictive control, data-based and distributed control, with application in different fields including biomedical engineering.

The Invited Session was very well received among CDC participants.  We thank all authors for contributing to this success.

Session overview:

The Invited Session was very well received among CDC participants.  We thank all authors for contributing to this success.

Session overview:

The Invited Session was very well received among CDC participants. We thank all authors for contributing to this success.

Session overview:

The Invited Sessions (WeA23, WeB23 and WeC23) were very well received by CDC participants. We thank all authors for contributing to this success.

Session Overviews:

WeA23 Invited Session: Learning-Based Controller Synthesis

 

The Invited Sessions (TuB13, WeB13, ThB13 and FrB13) were very well received by CDC participants. We thank all authors for contributing to this success.

Session Overviews:

TuB13: Learning-based Control I

external pageLearning Control for Polynomial Systems using Sum of Squares (1)
Guo, Meichen (University of Groningen)
De Persis, Claudio (University of Groningen)
Tesi, Pietro (University of Florence)


external pageExploiting Differential Flatness for Robust Learning-based Tracking Control Using Gaussian Processes
Greeff, Melissa (University of Toronto)
Schoellig, Angela P (University of Toronto)


external pageSafe Learning-based Model Predictive Control Under State and Input-dependent Uncertainty Using Scenario Trees (1)
Bonzanini, Angelico Domenico (UC Berkeley)
Paulson, Joel (Ohio State University)
Mesbah, Ali (UC Berkeley)


external pageConstrained Optimal Tracking Control of Unknown Systems: A Multi-step Linear Programming Approach (1)
Tanzanakis, Alexandros (ETH Zurich)
Lygeros, John (ETH Zurich)

WeB13: Learning-based Control 11
external pageScenario Optimization with Relaxation: A New Tool for Design and Application to Machine Learning Problems (1)
Campi, MC (Universita’ Di Brescia)
Garatti, Simone (Politecnico Di Milano)

 

WeB13: Learning-based Control II

external pageControl Barrier Functions for Unknown Non-Linear Systems Using Gaussian Processes (1)
Jagtap, Pushpak (KTH Royal Institute of Technology)
Pappas, George J (University of Pennsylvania)
Zamani, Majid (University of Colorado, Boulder)

external pageA Convex Approach to Robust LQR (1)
Scampicchio, Anna (University of Padova)
Pillonetto, Gianluigi (University of Padova)

external pageController Design Via Experimental Exploration with Robustness Guarantees
Holicki, Tobias (University of Stuttgart)
Scherer, Carsten W (University of Stuttgart)
Trimpe, Sabastian (RWTH Aachen University)


external pageLearning Control Barrier Functions from Expert Demonstrations (1)
Robey, Alexander (University of Pennsylvania)
Hu, Haimin (University of Pennsylvania)
Lindemann, Lars (Royal Institute of Technology, KTH)
Zhang, Hanwen (University of Pennsylvania)
Dimarogonas, Dimos V (KTH Royal Institute of Technology)
Tu, Stephen (University of California, Berkeley)
Matni, Nikolai (University of Pennsylvania)


external pageOn the Robustness of Equilibria in Generalized Aggregative Games (1)
Fabiani, Filippo (University of Oxford)
Margellos, Kostas (University of Oxford)
Goulart, Paul J (University of Oxford)

ThB13: Learning-based Control III

external pageStability and Feasibility of Neural Network-based Controllers via Output Range Analysis (I)
Karg, Benjamin (TU Berlin)
Lucia, Sergio (TU Berlin)

external pageDirect Data-driven Design of Neural Reference Governors (I)
Masti, Daniele (IMT School for Advanced Studies Lucca)
Breschi, Valentina (Politecnico di Milano)
Formentin, Simone (Politecnico Di Milano)
Bemporad, Alberto (IMT School for Advanced Studies Lucca)

external pageLearning Nonlinear Feedback Controllers from Data via Optimal Policy Search and Stochastic Gradient Descent (I)
Ferrarotti, Laura (IMT School for Advanced Studies Lucca)
Bemporad, Alberto (IMT School for Advanced Studies Lucca)


external pageHow Training Impacts Performance in Learning-based Control
Lederer, Armin (Technical University of Munich)
Capone, Alexandre (Technical University of Munich)
Umlauft, Jonas (Technical University of Munich)
Hirche, Sandra (Technische Universität München)

external pageTo Share or Not to Share? Performance Guarantees and the Asymmetric Nature of Cross-Robot Experience Transfer
Sorocky, Michael Joseph (University of Toronto)
Zhou, Siqi (University of Toronto)
Schoellig, Angela P (University of Toronto)
 

FrB13: Learning-based Control IV

external pageActive Exploration in Adaptive Model Predictive Control (I)
Parsi, Anilkumar (ETH Zurich)
Ianelli, Andrea (ETH Zurich)
Smith, Roy S (ETH Zurich)

external pageComputing the Racing Line Using Bayesian Optimization (I)
Jain, Achin (University of Pennsylvania)
Morari, Manfred (University of Pennsylvania)

external pageTrajectory Optimization for Non-linear Multi-agent Systems Using Decentralized Learning Model Predictive Control (I)
Zhu, Edward (University of California, Berkeley)
Stürz, Yvonne R (UC Berkeley)
Rosolia, Ugo (Caltech)
Borrelli, Francesco (University of California at Berkeley)

external pageLearning to Satisfy Unknown Constraints in Iterative MPC (1)
Bujarbaruah, Monimoy (UC Berkeley)
Vallon, Charlott (University of California, Berkeley)
Borelli, Francesco (University of California at Berkeley)

external pageSample Complexity of Data-driven Stochastic LQR with Multiplicative Uncertainty (I)
Coppens, Peter (KU Leuven)
Patrinos, Panagiotis (KU Leuven)
 

 

The Invited Sessions (TuA01, TuB01, WeA01 and WeB01) were very well received by CDC participants. We thank all authors for contributing to this success.

Session Overviews:

TuA01: Learning-based Control: Data-driven Methods

external pageDirect Data-Driven Model-reference Control with Lyapunov Stability Guarantees (I)

Breschi, Valentina (Politecnico Di Milano)
De Persis, Claudio (University of Groningen)
Formentin, Simone (Politecnico Di Milano)
Tesi, Pietro (University of Florence)

external pageTrading-Off Safety, Exploration, and Exploitation in Learning-Based Optimization: A Set Membership Approach

Sabug, Lorenzo Jr. (Politecnico Di Milano)
Ruiz Fredy (Politecnico Di Milano)
Fagiano, Lorenzo (Politecnico Di Milano)

external pageOn the Consistency of the Risk Evaluation in the Scenario Approach (I)

Garatti, Simone (Politecnico Di Milano)
Campi, M. C. (Universita' Di Brescia)

external pageSystem Theory without Transfer Functions and State-Space? Yes, It's Possible!

Markovsky, Ian (Vrije Universiteit Brussel)

external pageFrom System Level Synthesis to Robust Closed-Loop Data-Enabled Predictive Control

Lian, Yingzhao (EPFL)
Jones, Colin (EPFL)

external pageData-Based System Analysis and Control of Flat Nonlinear Systems

Alsalti, Mohammen (Leibniz University Hannover)
Berberich, Julian (University of Stuttgart)
Lopez, Victor G (Leibnitz University of Hannover)
Allgöwer, Frank (University of Stuttgart)
Muller, Matthias A (Leibniz University Hannover)

TuB01: Learning-based Control: Model Predictive Control

external pageData to Controller for Nonlinear Systems: An Approximate Solution

Hendriks, Johannes (University of Newcastle)
Holdsworth, James Robert Zayas (University of Newcastle)
Wills, Adrian (University of Newcastle)
Schön, Thomas (bo) (Uppsala University)
Ninness, Brett (University of Newcastle)

external pageLearning Convex Terminal Costs for Complexity Reduction in MPC (I)

Abdufattokhov, Shokhjakhon (IMT School for Advanced Studies Lucca)
Zanon, Mario (IMT School for Advanced Studies Lucca)
Bemporad, Alberto (IMT School for Advanced Studies Lucca)

external pageData-Driven Rollout for Deterministic Optimal Control (I)

Li, Yuchao (KTH Royal Institute of Technology)
Johansson, Karl H (KTH Royal Institute of Technology)
Martensson, Jonas (KTH Royal Institute of Technology)
Bertsekas, Dimitri P (MIT)

external pageOn the Stability Properties of Perception-Aware Chance-Constrained MPC in Uncertain Environments (I)

Bonzanini, Angelo Domenico (UC Berkeley)
Mesbah, Ali (UC Berkeley)
Di Cairano, Stefano (Mitsubishi Electric Research Labs)
 

external pageRLO-MPC: Robust Learning-based Output Feedback MPC for Improving the performance of Uncertain Systems in Iterative Tasks (I)

Brunke, Lukas (University of Toronto)
Zhou, Siqi (University of Toronto)
Schoellig, Angela P (University of Toronto)
 

external pageA Soft Constrained MPC Formulation Enabling Learning from Trajectories with Constraint Violations

Wabersich, Kim Peter (ETH Zurich)
Krishnadas, Raamadaas (ETH Zurich)
Zeilinger, Melanie N (ETH Zurich)
 

WeA01: Learning-based Control: Model Learning

external pageLearning Accurate Long-Term Dynamics for Model-Based Reinforcement Learning (I)

Lambert, Nathan (UC Berkeley)
Wilcox, Albert (UC Berkeley)
Zhang, Howard (UC Berkeley)
Pister, Kristofer (UC Berkeley)
Calandra, Roberto (Facebook)
 

external pageDistributed Bayesian Online Learning for Cooperative Manipulation

Budde genannt Dohmann, Pablo (Technical University of Munich)
Lederer, Armin (Technical University of Munich)
Dissemond, Marcel (Technical University of Munich)
Hirche, Sandra (Technical University of Munich)
 

external pageLearning ODE Models with Qualitative Structure Using Gaussian Processes (I)

Ridderbusch, Steffen (University of Oxford)
Offen, Christian (Paderborn University)
Ober-Bloebaum, Sina (University of Oxford)
Goulart, Paul J (University of Oxford)
 

external pageLinear Systems Can Be Hard to Learn (I)

Tsiamis, Anastasios (University of Pennsylvania)
Pappas, George J (University of Pennsylvania)
 

external pageDistributed Bayesian Parameter Inference for Physics-Informed Neural Networks

Bai, He (Oklahoma State University)
Bhar, Kinjal (Oklahoma State University)
George, Jemin (U.S. Army Research Laboratory)
Busart, Carl (U.S. Army DEVCOM ARL)
 

external pageStructured Hammerstein-Wiener Model Learning for Model Predictive Control

Moriyasu, Ryuta (Toyota Central R&D Labs)
Ikeda, Taro (Toyota Central R&D Labs)
Kawaguchi, Sho (Toyota Industries Corporation)
Kashima, Kenji (Kyoto University)
 

WeB01: Learning-based Control: Controller Learning

external pageLearning-Based Repetitive Precision Motion Control with Mismatch Compensation (I)

Balta, Efe C (ETH Zurich)
Barton, Kira (University of Michigan, Ann Arbor)
Tilbury, Dawn M. (University of Michigan)
Rupenyan, Alisa (ETH Zurich)
Lygeros, John (ETH Zurich)
 

external pageLinear systems with Neural Network Nonlinearities: Improved Stability Analysis Via Acausal Zames-Falb Multipliers (I)

Pauli, Patricia (University of Stuttgart)
Gramlich, Dennis (University of Stuttgart)
Barberich, Julian (University of Stuttgart)
Allgöwer, Frank (University of Stuttgart)
 

external pageCommunication Topology Co-design in Graph Recurrent Neural Network Based Distributed Control (I)

Yang, Fengjun (University of Pennsylvania)
Matni, Nicolai (University of Pennsylvania)
 

external pageInverse Reinforcement Learning: A Control Lyapunov Approach (I)

Tesfazgi, Samuel (Technical University of Munich)
Lederer, Armin (Technical University of Munich)
Hirche, Sandra (Technical University of Munich)
 

external pageProbabilistically Robust Bayasian Optimization for Data-Driven Design of Arbitrary Controllers with Gaussian Process Emulators (I)

Paulson, Joel (The Ohio State University)
Shao, Ketong (UC Berkeley)
Mesbah, Ali (UC Berkeley)
 

external pageData-Driven Online Convex Optimization for Control of Dynamical Systems

Nonhoff, Marko (Leibniz University Hannover)
Muller, Matthias A (Leibniz University Hannover)
 

 

 

 

The Invited Sessions (WeAT05, WeBT05, WeCT05 and ThAT05) were very well received by CDC participants. We thank all authors for contributing to this success.


SESSION OVERVIEWS:


WeAT05 - Learning-Based Control I: Data-Driven Predictive Control

external pageData-Enabled Predictive Control with Instrumental Variables: The Direct Equivalence with Subspace Predictive Control

van Wingerden, Jan-Willem
Mulders, Sebastiaan P.
Dinkla, Rogier
Oomen, Tom
Verhaegen, Michel



external pageData-Driven Multiple Shooting for Stochastic Optimal Control

Ou, Ruchuan
Pan, Guanru
Faulwasser, Timm



external pageAn Offset-Free Nonlinear MPC Scheme for Systems Learned by Neural NARX Models

Bonassi, Fabio
Xie, Jing
Farina, Marcello
Scattolini, Riccardo



external pageData-Driven Nonlinear Model Reduction Using Koopman Theory: Integrated Control Form and NMPC Case Study

Schulze, Jan C.
Mitsos, Alexander



external pageCompression at the Service of Learning: A Case Study for the Guaranteed Error Machine

Garatti, Simone
C. Campi, Marco



external pageLearning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression

Fiedler, Christian
Scherer, Carsten W.
Trimpe, Sebastian




WeBT05 - Learning-Based Control II: Analysis, Estimation and Control

external pageOn a Continuous-Time Version of Willems' Lemma

Lopez, Victor G.
Müller, Matthias A.



external pageNeural System Level Synthesis: Learning Over All Stabilizing Policies for Nonlinear Systems

Furieri, Luca
Galimberti, Clara Lucía
Ferrari-Trecate, Giancarlo



external pageData-Driven Input Reconstruction and Experimental Validation

Shi, Jicheng
Lian, Yingzhao
Jones, Colin N.



external pageLinear Observer Learning by Temporal Difference

Menchetti, Stefano
Zanon, Mario
Bemporad, Alberto



external pageData-Driven Analysis and Design Beyond Common Lyapunov Functions

van Waarde, Henk J.
Camlibel, M. Kanat
Trentelman, Harry L.



external pageFinite-Sample Guarantees for State-Space System Identification under Full State Measurements

Baggio, Giacomo
Carè, Algo
Pillonetto, Gianluigi




WeCT05 - Learning-Based Control III: Robustness and Safety

external pageA System Level Approach to Regret Optimal Control

Didier, Alexandre
Sieber, Jerome
Zeilinger, Melanie N.



external pageImproved Rates for Derivative Free Gradient Play in Strongly Monotone Games

Drusvyatskiy, Dmitriy
Fazel, Maryam
Ratliff, Lillian J.



external pageSafe Reinforcement Learning Via Confidence-Based Filters

Curi, Sebastian
Lederer, Armin
Hirche, Sandra
Krause, Andreas



external pagePerformance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control

Lee, Bruce D.
Zhang, Thomas T.C.K.
Hassani, Hamed
Matni, Nikolai



external pageImproving the Performance of Robust Control through Event-Triggered Learning

von Rohr, Alexander
Solowjow, Friedrich
Trimpe, Sebastian



external pageScalable Estimation of Invariant Sets for Mixed-Integer Nonlinear Systems Using Active Deep Learning

Bonzanini, Angelo D.
Paulson, Joel A.
Makrygiorgos, Georgios
Mesbah, Ali




ThAT05 - Learning-Based Control IV: Controller Design and Applications

external pageOn Controller Tuning with Time-Varying Bayesian Optimization

Brunzema, Paul
von Rohr, Alexander
Trimpe, Sebastian



external pageNeural Energy Casimir Control for Port-Hamiltonian Systems

Xu, Liang
Zakwan, Muhammad
Ferrari-Trecate, Giancarlo



external pageStructured-Policy Q-Learning: An LMI-Based Design Strategy for Distributed Reinforcement Learning

Sforni, Lorenzo
Camisa, Andrea
Notarstefano, Giuseppe



external pageConvex Analytic Theory for Convex Q-Learning

Lu, Fan
Mehta, Prashant G.
Meyn, Sean P.
Neu, Gergely



external pageMulti-Agent Deep Reinforcement Learning for Shock Wave Detection and Dissipation Using Vehicle-To-Vehicle Communication

Suriyarachchi, Nilesh
Noorani, Erfaun
Tariq, Faizan M.
Baras, John S.



external pagePhysically Consistent Learning of Conservative Lagrangian Systems with Gaussian Processes

Evangelisti, Giulio
Hirche, Sandra

 

The Invited Sessions (WeA02, WeB02, ThA02 and ThB02) were very well received by CDC participants. We thank all authors for contributing to this success.


SESSION OVERVIEWS:


WeA02: Learning-Based Control I: Policy Learning and Optimization

external pageDifferentiable Sparse Optimal Control

Shima, Ryotaro (Toyota Central R&D Labs)
Moriyasu, Ryuta (Toyota Central R&D Labs)
Kawaguchi, Sho (Toyota Industries Corporation)
Kashima, Kenji (Kyoto University)


external pageAn Efficient Off-Policy Reinforcement Learning Algorithm for the Continuous-Time LQR Problem (I)

Lopez, Victor G. (Leibniz University Hannover)
Müller, Matthias A. (Leibniz University Hannover)


external pageNo-Regret Bayesian Optimization with Gradients Using Local Optimality-Based Constraints: Application to Closed-Loop Policy Search (I)

Makrygiorgos, Georgios (University of California, Berkeley)
Paulson, Joel (The Ohio State University)
Mesbah, Ali (University of California, Berkeley)


external pageScenario Optimization with Constraint Relaxation in a Non-Convex Setup: A Flexible and General Framework for Data-Driven Design (I)

Garatti, Simone (Politecnico Di Milano)
Campi, M. C. (Universita' Di Brescia)


external pageOn-Policy Data-Driven Linear Quadratic Regulator Via Model Reference Adaptive Reinforcement Learning (I)

Borghesi, Marco (University of Bologna)
Bosso, Alessandro (University of Bologna)
Notarstefano, Giuseppe (University of Bologna)


external pageLearning Optimal Policies in Mean Field Models with Kullback-Leibler Regularization (I)

Busic, Ana (Inria)
Meyn, Sean P. (Univ. of Florida)
Cammardella, Neil (University of Florida)



WeB02: Learning-Based Control II: Safety and Robustness

external pageA Computationally Lightweight Safe Learning Algorithm (I)

Baumann, Dominik (Aalto University)
Kowalczyk, Krzysztof (Wroclaw University of Science and Technology)
Tiels, Koen (Eindhoven University of Technology)
Wachel, PawelWroclaw (University of Science and Technology, Poland)


external pageLearning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems (I)

Barbara, Nicholas H. (The University of Sydney
Wang, Ruigang (The University of Sydney)
Manchester, Ian R. (University of Sydney)


external pageAn Online Learning Analysis of Minimax Adaptive Control (I)

Renganathan, Venkatraman (Lund University)
Iannelli, Andrea (University of Stuttgart)
Rantzer, Anders (Lund University)


external pageRisk-Sensitive Inhibitory Control for Safe Reinforcement Learning (I)

Lederer, Armin (Technical University of Munich)
Noorani, Erfaun (University of Maryland College Park)
Baras, John S. (University of Maryland)
Hirche, Sandra (Technische Universität München)


external pageLearning Safety Filters for Unknown Discrete-Time Linear Systems

Farokhi, Farhad (The University of Melbourne)
Leong, Alex S. (DST Group)
Zamani, Mohammad (University of Melbourne)
Shames, Iman (Australian National University)


external pageData-Driven Synthesis of Safety Controllers for Partially-Observable Systems with Unknown Models (I)

Jahanshahi, Niloofar (Ludwig Maximilian University of Munich)
Zamani, Majid (University of Colorado Boulder)

 

ThA02: Learning-Based Control III: Model Learning, Analysis and Control

external pagePhysically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters

Lian, YingzhaoEPFLShi, JichengEPFLJones, Colin N.EPFL 10:20-10:40, Paper ThA02.2 Add to


external pageData-Driven Feedback Linearization with Complete Dictionaries (I)

De Persis, Claudio (University of Groningen)
Gadginmath, Darshan (University of California, Riverside)
Pasqualetti, Fabio (University of California, Riverside)
Tesi, Pietro (Università Degli Studi Di Firenze)


external pageUnconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations (I)

Martinelli, Daniele (EPFL)
Galimberti, Clara Lucía (EPFL)
Manchester, Ian R. (University of Sydney)
Furieri, Luca (EPFL)
Ferrari-Trecate, Giancarlo (EPFL)


external pageAbstracting Linear Stochastic Systems Via Knowledge Filtering (I)

Engelaar, Maico Hendrikus Wilhelmus (Eindhoven University of Technology)
Romao, Licio (University of Oxford)
Gao, Yulong (University of Oxford)
Lazar, Mircea (Eindhoven University of Technology)
Abate, Alessandro (University of Oxford)
Haesaert, Sofie (Eindhoven University of Technology)


external pageLearning Control of Second-Order Systems Via Nonlinearity Cancellation (I)

Guo, Meichen (Delft University of Technology)
De Persis, Claudio (University of Groningen)
Tesi, Pietro (University of Florence)


external pageOn the Impact of Regularization in Data-Driven Predictive Control (I)

Breschi, Valentina (Eindhoven University of Technology)
Chiuso, Alessandro (University of Padua)
Fabris, Marco (University of Padua)
Formentin, Simone (Politecnico Di Milano)



ThB02: Learning-Based Control IV: Data-Driven Controller Design

external pageData-Driven Model-Reference Control with Closed-Loop Stability: The Output-Feedback Case

de Jong, Thomas O. (Eindhoven University of Technology)
Breschi, Valentina (Eindhoven University of Technology)
Schoukens, Maarten (Eindhoven University of Technology)
Formentin, Simone (Politecnico Di Milano)


external pageModel-Free Data-Driven Predictive Control Using Reinforcement Learning (I)

Sawant, Shambhuraj (NTNU Trondheim)
Reinhardt, Dirk Peter (Norwegian University of Science and Technology)
Bahari Kordabad, Arash (Norwegian University of Science and Technology)
Gros, Sebastien (NTNU)


external pageThe Fundamental Limitations of Learning Linear-Quadratic Regulators (I)

Lee, Bruce (University of Pennsylvania)
Ziemann, Ingvar (University of Pennsylvania)
Tsiamis, Anastasios (ETH Zurich)
Sandberg, Henrik (KTH Royal Institute of Technology)
Matni, Nikolai (University of Pennsylvania)


external pageOn the Design of Persistently Exciting Inputs for Data-Driven Control of Linear and Nonlinear Systems

Alsalti, Mohammad (Leibniz University Hannover)
Lopez, Victor G. (Leibniz University Hannover)
Müller, Matthias A. (Leibniz University Hannover)


external pageOnline Control for Adaptive Tapering of Medications (I)

Gradu, Paula (University of California, Berkeley)
Recht, Benjamin (University of California, Berkeley)


external pageDifferentially Flat Learning-Based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter

Hall, Adam W. (University of Toronto)
Greeff, Melissa (University of Toronto)
Schoellig, Angela P. (University of Toronto)

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