Invited Session Series on Learning-based Control
Organizers:
external pageAngela P. Schoelligcall_made (University of Toronto, Canada)
external pageSebastian Trimpecall_made (RWTH Aachen University, Germany)
Melanie N. Zeilinger (ETH Zürich, Switzerland)
external pageMatthias Müllercall_made (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.
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 pagecall_made
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.
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.
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.
This Invited Session is supported by the external pageMax Planck ETH Center for Learning Systemscall_made and the external pageIEEE CSS Technical Committee on Intelligent Controlcall_made.
The Invited Session was very well received among CDC participants. We thank all authors for contributing to this success.
Session overview:
- external pageDistributed Iterative Learning Control for a Team of Quadrotorscall_made
Hock, Andreas (Univ. of Toronto)
Schoellig, Angela P (Univ. of Toronto) - external pageContinuous-Time DC Kernel — a Stable Generalized First Order Spline Kernelcall_made
Chen, Tianshi (Linköping Univ. Sweden)
Pillonetto, Gianluigi (Univ. of Padova)
Chiuso, Alessandro (Univ. Di Padova)
Ljung, Lennart (Linkoping Univ) - external pageLearning Quadrotor Dynamics Using Neural Network for Flight Controlcall_made
Bansal, Somil (UC Berkeley)
Akametalu, Anayo K. (UC Berkeley)
Tomlin, Claire J. (UC Berkeley)
Laine, Forrest J. (UC Berkeley) - external pageSafe Learning of Regions of Attraction for Uncertain, Nonlinear Systems with Gaussian Processescall_made
Berkenkamp, Felix (ETH Zurich)
Moriconi, Riccardo (ETH Zurich)
Schoellig, Angela P (Univ. of Toronto)
Krause, Andreas (ETH Zurich) - external pageLearning State Representation for Deep Actor-Critic Controlcall_made
Munk, Jelle (Delft Univ. of Tech)
Kober, Jens (Delft Univ. of Tech)
Babuska, R. (Delft Univ. of Tech) - external pageRelaxation of the EM Algorithm Via Quantum Annealing for Gaussian Mixture Modelscall_made
Miyahara, Hideyuki (The Univ. of Tokyo)
Tsumura, Koji (The Univ. of Tokyo)
Sughiyama, Yuki (The Univ. of Tokyo)
The Invited Session was very well received among CDC participants. We thank all authors for contributing to this success.
Session overview:
- external pageGoal-Driven Dynamics Learning Via Bayesian Optimizationcall_made
Bansal, Somil (UC Berkeley)
Calandra, Roberto (UC Berkeley)
Xiao, Ted (Machine Learning at Berkeley)
Levine, Sergey (UC Berkeley)
Tomlin, Claire J. (UC Berkeley) - external pageData-Driven Approximate Dynamic Programming: A Linear Programming Approachcall_made
Sutter, Tobias (ETH Zurich)
Kamoutsi, Angeliki (ETH Zurich)
Mohajerin Esfahani, Peyman (TU Delft)
Lygeros, John (ETH Zurich)
- external pageStable Gaussian Process Based Tracking Control of Lagrangian Systemscall_made
Beckers, Thomas (Tech. Univ. of Munich)
Umlauft, Jonas (Tech. Univ. of Munich)
Kulic, Dana (Univ. of Waterloo)
Hirche, Sandra (Tech. Univ. München) - external pageTrajectory Tracking and Iterative Learning on an Unmanned Aerial Vehicle Using Parametrized Model Predictive Controlcall_made
Sferrazza, Carmelo (ETH Zurich)
Muehlebach, Michael (ETH Zurich)
D'Andrea, Raffaello (ETH Zurich)
- external pageOn the Design of LQR Kernels for Efficient Controller Learningcall_made
Marco Valle, Alonso (Max Planck Inst. for Intelligent Systems)
Hennig, Philipp (Max Planck Inst. for Intelligent Systems)
Schaal, Stefan (Univ. of Southern California)
Trimpe, Sebastian (Max Planck Inst. for Intelligent Systems) - external pageDesign of Deep Neural Networks As Add-On Blocks for Improving Impromptu Trajectory Trackingcall_made
Zhou, Siqi (Univ. of Toronto)
Helwa, Mohamed K. (Univ. of Toronto)
Schoellig, Angela P (Univ. of Toronto)
The Invited Session was very well received among CDC participants. We thank all authors for contributing to this success.
Session overview:
- external pageClassification of Light Charged Particles Via Learning-Based System Identification (I)call_made
Mazzoleni, Mirko (University of Bergamo)
Scandella, Matteo (University of Bergamo)
Formentin, Simone (Politecnico Di Milano)
Previdi, Fabio (Università Degli Studi Di Bergamo) - external pageLearning-Based Model Predictive Control for Safe Exploration (I)call_made
Koller, Torsten (Albert-Ludwigs-Universität Freiburg)
Berkenkamp, Felix (ETH Zurich)
Turchetta, Matteo (ETH Zurich)
Krause, Andreas (ETH Zurich) - external pageSample Complexity of Networked Control Systems Over Unknown Channels (I)call_made
Gatsis, Konstantinos (University of Pennsylvania)
Pappas, George J. (University of Pennsylvania) - external pageEfficient Encoding of Dynamical Systems through Local Approximations (I)call_made
Solowjow, Friedrich (Max Planck Institute for Intelligent Systems)
Mehrjou, Arash (Max Planck Institute for Intelligent Systems)
Schölkopf, Bernhard (MPI for Biological Cybernetics)
Trimpe, Sebastian (Max Planck Institute for Intelligent Systems) - external pageAn Uncertainty-Based Control Lyapunov Approach for Control-Affine Systems Modeled by Gaussian Processcall_made
Umlauft, Jonas (Technical University of Munich)
Pöhler, Lukas (Technical University of Munich)
Hirche, Sandra (Technische Universität München) - external pageBayesian Nonparametrics and Feedback-Linearisation of Discretised Control-Affine Systemscall_made
Calliess, Jan-Peter (University of Oxford)
Roberts, Stephen (University of Oxford)
Papachristodoulou, Antonis (University of Oxford)
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
- external pageDeep Reinforcement Learning with Feedback-Based Explorationcall_made
Scholten, Jan Jelmer (Delft University of Technology)
Wout, Daan (Delft University of Technology)
Celemin, Carlos (Delft University of Technology)
Kober, Jens (Delft University of Technology) - external pageInverse Learning for Human-Adaptive Motion Planningcall_made
Menner, Marcel (ETH Zurich)
Berntorp, Karl (Mitsubishi Electric Research Labs)
Zeilinger, Melanie N. (ETH Zurich)
Di Cairano, Stefano (Mitsubishi Electric Research Labs) - external pageA Data-Driven Policy Iteration Scheme Based on Linear Programmingcall_made
Banjac, Goran (ETH Zurich)
Lygeros, John (ETH Zurich) - external pageBayesian Kernel-Based Linear Control Designcall_made
Schampicchio, Anna (University of Padova)
Chiuso, Alessandro (Univ di Padova)
Formentin, Simone (Politecnico di Milano)
Pillonetto, Gianluigi (University of Padova) - external pageClosed-Loop Model Selection for Kernel-Based Models Using Bayesian Optimizationcall_made
Beckers, Thomas (Technical University of Munich)
Bansal, Somil (UC Berkeley)
Tomlin, Claire J. (UC Berkeley)
Hirche, Sandra (Technische Universität München) - external pageLearning Robust LQ-Controllers Using Application Oriented Explorationcall_made
Ferizbegovic, Mina (KTH Royal Institute of Technology)
Umenberger, Jack (Uppsala University)
Hjalmarsson, Hakan (KTH Royal Inst. Of Tech)
Schön, Thomas (Bo) (Uppsala University)
WeB23 Invited Session: Model Learning for Control
- external pageAn Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environmentscall_made
Bajcsy, Andrea (UC Berkeley)
Bansal, Somil (UC Berkeley)
Bronstein, Eli (UC Berkeley)
Tolani, Varun (UC Berkeley)
Tomlin, Claire J. (UC Berkeley) - external pageLocal Asymptotic Stability Analysis and Region of Attraction Estimation with Gaussian Processescall_made
Lederer, Armin (Technical University of Munich)
Hirche, Sandra (Technische Universität München) - external pageLearning for Control: A Bayesian Scenario Approachcall_made
Garatti, Simone (Politecnico Di Milano)
Campi, M.C. (Universita’ Di Brescia) - external pageOne-Shot Verification of Dissipativity Properties from Input-Output Datacall_made
Romer, Anne (University of Stuttgart)
Berberich, Julian (University of Stuttgart)
Koehler, Johannes (University of Stuttgart)
Allgöwer, Frank (University of Stuttgart) - external pageActive Training Trajectory Generation for Inverse Dynamics Model Learning with Deep Neural Networkscall_made
Zhou, Siqi (University of Toronto)
Schoellig, Angela P. (University of Toronto) - external pageHierarchical Event-Triggered learning for Cyclically Excited Systems with Application to Wireless Sensor Networkscall_made
Beuchert, Jonas (Technische Universität Berlin)
Solowjow, Friedrich (Max Planck Institute for Intelligent Systems)
Raisch, Joerg (Technical University, Berlin)
Trimpe, Sebastian (Max Planck Institute for Intelligent Systems)
Seel, Thomas (Technische Universität Berlin)
WeC23 Invited Session: Learning-Based Model Predictive Control - external pageRegularized and Distributionally Robust Data-Enabled Predictive Controlcall_made
Coulson, Jeremy (ETH Zurich)
Lygeros, John (ETH Zurich)
Dörfler, Florian (Swiss Federal Institute of Technology (ETH) Zurich) - external pageSample-Based Learning Model Predictive Control for Linear Uncertain Systemscall_made
Rosolia, Ugo (UC Berkeley)
Borrelli, Francesco (University of California at Berkeley) - external pageModel Predictive Control Using Efficient Gaussian Processes for Unknown Disturbance Inputscall_made
Grasshoff, Jan (Universität Zu Lübeck)
Maennel, Georg (Universität Zu Lübeck)
Abbas, Hossam (University of Lübeck)
Rostalski, Philipp (University of Luebeck) - external pagePerformance-Oriented Model Learning for Data-Driven MPC Designcall_made
Piga, Dario (University of Applied Sciences and Arts of Southern Switzerland)
Forgione, Marco (SUPSI)
Formentin, Simone (Politecnico Di Milano)
Bemporad, Alberto (IMT Institute for Advanced Studies Lucca) - external pageModel Predictive Control Design for Dynamical Systems Learned by Echo State Networkscall_made
Bugliari Armenio, Luca (Politecnico Di Milano)
Terzi, Enrico (Politecnico Di Milano)
Farina, Marcello (Politecnico Di Milano)
Scattolini, Riccardo (Politecnico Di Milano) - external pageProbabilistic Verification and Reachability Analysis of Neural Networks Via Semidefinite Programmingcall_made
Faziyab, Mahyar (University of Pennsylvania)
Morari, Manfred (University of Pennsylvania)
Pappas, George J (University of Pennsylvania)
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)call_made
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 Processescall_made
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)call_made
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)call_made
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)call_made
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)call_made
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)call_made
Scampicchio, Anna (University of Padova)
Pillonetto, Gianluigi (University of Padova)
external pageController Design Via Experimental Exploration with Robustness Guaranteescall_made
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)call_made
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)call_made
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)call_made
Karg, Benjamin (TU Berlin)
Lucia, Sergio (TU Berlin)
external pageDirect Data-driven Design of Neural Reference Governors (I)call_made
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)call_made
Ferrarotti, Laura (IMT School for Advanced Studies Lucca)
Bemporad, Alberto (IMT School for Advanced Studies Lucca)
external pageHow Training Impacts Performance in Learning-based Controlcall_made
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 Transfercall_made
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)call_made
Parsi, Anilkumar (ETH Zurich)
Ianelli, Andrea (ETH Zurich)
Smith, Roy S (ETH Zurich)
external pageComputing the Racing Line Using Bayesian Optimization (I)call_made
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)call_made
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)call_made
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)call_made
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
Breschi, Valentina (Politecnico Di Milano)
De Persis, Claudio (University of Groningen)
Formentin, Simone (Politecnico Di Milano)
Tesi, Pietro (University of Florence)
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)call_made
Garatti, Simone (Politecnico Di Milano)
Campi, M. C. (Universita' Di Brescia)
external pageSystem Theory without Transfer Functions and State-Space? Yes, It's Possible!call_made
Markovsky, Ian (Vrije Universiteit Brussel)
Lian, Yingzhao (EPFL)
Jones, Colin (EPFL)
external pageData-Based System Analysis and Control of Flat Nonlinear Systemscall_made
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 Solutioncall_made
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)call_made
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)call_made
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)
Bonzanini, Angelo Domenico (UC Berkeley)
Mesbah, Ali (UC Berkeley)
Di Cairano, Stefano (Mitsubishi Electric Research Labs)
Brunke, Lukas (University of Toronto)
Zhou, Siqi (University of Toronto)
Schoellig, Angela P (University of Toronto)
Wabersich, Kim Peter (ETH Zurich)
Krishnadas, Raamadaas (ETH Zurich)
Zeilinger, Melanie N (ETH Zurich)
WeA01: Learning-based Control: Model Learning
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 Manipulationcall_made
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)call_made
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)call_made
Tsiamis, Anastasios (University of Pennsylvania)
Pappas, George J (University of Pennsylvania)
external pageDistributed Bayesian Parameter Inference for Physics-Informed Neural Networkscall_made
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 Controlcall_made
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
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)
Pauli, Patricia (University of Stuttgart)
Gramlich, Dennis (University of Stuttgart)
Barberich, Julian (University of Stuttgart)
Allgöwer, Frank (University of Stuttgart)
Yang, Fengjun (University of Pennsylvania)
Matni, Nicolai (University of Pennsylvania)
external pageInverse Reinforcement Learning: A Control Lyapunov Approach (I)call_made
Tesfazgi, Samuel (Technical University of Munich)
Lederer, Armin (Technical University of Munich)
Hirche, Sandra (Technical University of Munich)
Paulson, Joel (The Ohio State University)
Shao, Ketong (UC Berkeley)
Mesbah, Ali (UC Berkeley)
external pageData-Driven Online Convex Optimization for Control of Dynamical Systemscall_made
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 Controlcall_made
van Wingerden, Jan-Willem
Mulders, Sebastiaan P.
Dinkla, Rogier
Oomen, Tom
Verhaegen, Michel
external pageData-Driven Multiple Shooting for Stochastic Optimal Controlcall_made
Ou, Ruchuan
Pan, Guanru
Faulwasser, Timm
external pageAn Offset-Free Nonlinear MPC Scheme for Systems Learned by Neural NARX Modelscall_made
Bonassi, Fabio
Xie, Jing
Farina, Marcello
Scattolini, Riccardo
external pageData-Driven Nonlinear Model Reduction Using Koopman Theory: Integrated Control Form and NMPC Case Studycall_made
Schulze, Jan C.
Mitsos, Alexander
external pageCompression at the Service of Learning: A Case Study for the Guaranteed Error Machinecall_made
Garatti, Simone
C. Campi, Marco
external pageLearning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regressioncall_made
Fiedler, Christian
Scherer, Carsten W.
Trimpe, Sebastian
WeBT05 - Learning-Based Control II: Analysis, Estimation and Control
external pageOn a Continuous-Time Version of Willems' Lemmacall_made
Lopez, Victor G.
Müller, Matthias A.
external pageNeural System Level Synthesis: Learning Over All Stabilizing Policies for Nonlinear Systemscall_made
Furieri, Luca
Galimberti, Clara Lucía
Ferrari-Trecate, Giancarlo
external pageData-Driven Input Reconstruction and Experimental Validationcall_made
Shi, Jicheng
Lian, Yingzhao
Jones, Colin N.
external pageLinear Observer Learning by Temporal Differencecall_made
Menchetti, Stefano
Zanon, Mario
Bemporad, Alberto
external pageData-Driven Analysis and Design Beyond Common Lyapunov Functionscall_made
van Waarde, Henk J.
Camlibel, M. Kanat
Trentelman, Harry L.
external pageFinite-Sample Guarantees for State-Space System Identification under Full State Measurementscall_made
Baggio, Giacomo
Carè, Algo
Pillonetto, Gianluigi
WeCT05 - Learning-Based Control III: Robustness and Safety
external pageA System Level Approach to Regret Optimal Controlcall_made
Didier, Alexandre
Sieber, Jerome
Zeilinger, Melanie N.
external pageImproved Rates for Derivative Free Gradient Play in Strongly Monotone Gamescall_made
Drusvyatskiy, Dmitriy
Fazel, Maryam
Ratliff, Lillian J.
external pageSafe Reinforcement Learning Via Confidence-Based Filterscall_made
Curi, Sebastian
Lederer, Armin
Hirche, Sandra
Krause, Andreas
external pagePerformance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Controlcall_made
Lee, Bruce D.
Zhang, Thomas T.C.K.
Hassani, Hamed
Matni, Nikolai
external pageImproving the Performance of Robust Control through Event-Triggered Learningcall_made
von Rohr, Alexander
Solowjow, Friedrich
Trimpe, Sebastian
external pageScalable Estimation of Invariant Sets for Mixed-Integer Nonlinear Systems Using Active Deep Learningcall_made
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 Optimizationcall_made
Brunzema, Paul
von Rohr, Alexander
Trimpe, Sebastian
external pageNeural Energy Casimir Control for Port-Hamiltonian Systemscall_made
Xu, Liang
Zakwan, Muhammad
Ferrari-Trecate, Giancarlo
external pageStructured-Policy Q-Learning: An LMI-Based Design Strategy for Distributed Reinforcement Learningcall_made
Sforni, Lorenzo
Camisa, Andrea
Notarstefano, Giuseppe
external pageConvex Analytic Theory for Convex Q-Learningcall_made
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 Communicationcall_made
Suriyarachchi, Nilesh
Noorani, Erfaun
Tariq, Faizan M.
Baras, John S.
external pagePhysically Consistent Learning of Conservative Lagrangian Systems with Gaussian Processescall_made
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 Controlcall_made
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)call_made
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)call_made
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)call_made
Garatti, Simone (Politecnico Di Milano)
Campi, M. C. (Universita' Di Brescia)
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external pageData-Driven Synthesis of Safety Controllers for Partially-Observable Systems with Unknown Models (I)call_made
Jahanshahi, Niloofar (Ludwig Maximilian University of Munich)
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De Persis, Claudio (University of Groningen)
Gadginmath, Darshan (University of California, Riverside)
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Haesaert, Sofie (Eindhoven University of Technology)
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