Roy S. Smith

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 136

Top Venues

CoRR

CDC

ECC

IEEE Control. Syst. Lett.

Publications

Jared Miller, Niklas Schmid, Matteo Tacchi, Didier Henrion, Roy S. Smith
Peak Time-Windowed Risk Estimation of Stochastic Processes. CoRR (2024)
Roy S. Smith, Mohamed Abdalmoaty, Mingzhou Yin
Optimal Data-Driven Prediction and Predictive Control using Signal Matrix Models. CoRR (2024)
Mohamed Abdalmoaty, Efe C. Balta, John Lygeros, Roy S. Smith
Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data. ECC (2024)
Mohamed Abdalmoaty, Roy S. Smith
Small Noise Analysis of Non-Parametric Closed-Loop Identification. CoRR (2024)
Mohamed Abdalmoaty, Efe C. Balta, John Lygeros, Roy S. Smith
Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data. CoRR (2024)
Anastasios Tsiamis, Mohamed Abdalmoaty, Roy S. Smith, John Lygeros
Finite Sample Frequency Domain Identification. CoRR (2024)
Verena Häberle, Linbin Huang, Xiuqiang He, Roy S. Smith, Florian Dörfler
MIMO Grid Impedance Identification of Three-Phase Power Systems: Parametric vs. Nonparametric Approaches. CoRR (2023)
Mingzhou Yin, Roy S. Smith
Error Bounds for Kernel-Based Linear System Identification with Unknown Hyperparameters. CoRR (2023)
Jared Miller, Roy S. Smith
Peak Estimation of Rational Systems using Convex Optimization. CoRR (2023)
Mingzhou Yin, Roy S. Smith
Error Bounds for Kernel-Based Linear System Identification With Unknown Hyperparameters. IEEE Control. Syst. Lett. 7 (2023)
Mohammad Khosravi, Roy S. Smith
Kernel-Based Impulse Response Identification With Side-Information on Steady-State Gain. IEEE Trans. Autom. Control. 68 (10) (2023)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Maximum Likelihood Estimation in Data-Driven Modeling and Control. IEEE Trans. Autom. Control. 68 (1) (2023)
Luigi Glielmo, Sergio Grammatico, Hamed Kebriaei, Roy S. Smith
Guest Editorial: Introduction to IEEE Control Systems Letters Special Section on Multi-Agent Coordination for Energy Systems: From Model Based to Data-Driven Methods. IEEE Control. Syst. Lett. 7 (2023)
Verena Häberle, Linbin Huang, Xiuqiang He, Eduardo Prieto-Araujo, Roy S. Smith, Florian Dörfler
MIMO Grid Impedance Identification of Three-Phase Power Systems: Parametric vs. Nonparametric Approaches. CDC (2023)
Roy S. Smith, Varsha Behrunani, John Lygeros
Control of Multicarrier Energy Systems from Buildings to Networks. Annu. Rev. Control. Robotics Auton. Syst. 6 (2023)
Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
A Dual System-Level Parameterization for Identification from Closed-Loop Data. CDC (2023)
Varsha Behrunani, Hanmin Cai, Philipp Heer, Roy S. Smith, John Lygeros
Distributed Multi-Horizon Model Predictive Control for Network of Energy Hubs. CoRR (2023)
Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
An Explicit Dual Control Approach for Constrained Reference Tracking of Uncertain Linear Systems. IEEE Trans. Autom. Control. 68 (5) (2023)
Mohammad Khosravi, Christopher König, Markus Maier, Roy S. Smith, John Lygeros, Alisa Rupenyan
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization. IEEE Trans. Ind. Electron. 70 (2) (2023)
Anilkumar Parsi, Marcell Bartos, Amber Srivastava, Sebastien Gros, Roy S. Smith
Once upon a time step: A closed-loop approach to robust MPC design. CoRR (2023)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Stochastic Data-Driven Predictive Control: Regularization, Estimation, and Constraint Tightening. CoRR (2023)
Mohamed Abdalmoaty, Jared Miller, Mingzhou Yin, Roy S. Smith
Frequency-Domain Identification of Discrete-Time Systems using Sum-of-Rational Optimization. CoRR (2023)
Ran Chen, Amber Srivastava, Mingzhou Yin, Roy S. Smith
Closed-Loop Identification of Stabilized Models Using Dual Input-Output Parameterization. CoRR (2023)
Mohammad Khosravi, Roy S. Smith
Kernel-based identification with frequency domain side-information. Autom. 150 (2023)
Mohammad Khosravi, Roy S. Smith
Diagonally Square Root Integrable Kernels in System Identification. CoRR (2023)
Mohammad Khosravi, Roy S. Smith
The existence and uniqueness of solutions for kernel-based system identification. Autom. 148 (2023)
Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli, Roy S. Smith
Infinite-Dimensional Sparse Learning in Linear System Identification. CoRR (2022)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. ECC (2022)
Defne E. Ozan, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models. CoRR (2022)
Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
An explicit dual control approach for constrained reference tracking of uncertain linear systems. CoRR (2022)
Anilkumar Parsi, Panagiotis Anagnostaras, Andrea Iannelli, Roy S. Smith
Computationally efficient robust MPC using optimized constraint tightening. CoRR (2022)
Efe C. Balta, Andrea Iannelli, Roy S. Smith, John Lygeros
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch. CDC (2022)
Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli, Roy S. Smith
Infinite-Dimensional Sparse Learning in Linear System Identification. CDC (2022)
Giovanni Gino Zanvettor, Marco Casini, Roy S. Smith, Antonio Vicino
Stochastic Energy Pricing of an Electric Vehicle Parking Lot. IEEE Trans. Smart Grid 13 (4) (2022)
Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
Scalable tube model predictive control of uncertain linear systems using ellipsoidal sets. CoRR (2022)
Anilkumar Parsi, Panagiotis Anagnostaras, Andrea Iannelli, Roy S. Smith
Computationally efficient robust MPC using optimized constraint tightening. CDC (2022)
Mohammad Khosravi, Roy S. Smith
The Existence and Uniqueness of Solutions for Kernel-Based System Identification. CoRR (2022)
Defne E. Ozan, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models. CDC (2022)
Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski, Roy S. Smith, Alisa Rupenyan, John Lygeros
Performance-Driven Cascade Controller Tuning With Bayesian Optimization. IEEE Trans. Ind. Electron. 69 (1) (2022)
Anilkumar Parsi, Diyou Liu, Andrea Iannelli, Roy S. Smith
Dual adaptive MPC using an exact set-membership reformulation. CoRR (2022)
Efe C. Balta, Andrea Iannelli, Roy S. Smith, John Lygeros
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch. CoRR (2022)
Andrea Iannelli, Urban Fasel, Roy S. Smith
The Balanced Mode Decomposition Algorithm for Data-Driven LPV Low-Order Models of Aeroservoelastic Systems. CoRR (2021)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. L4DC (2021)
Mathias Hudoba de Badyn, Erik Miehling, Dylan Janak, Behçet Açikmese, Mehran Mesbahi, Tamer Basar, John Lygeros, Roy S. Smith
Discrete-Time Linear-Quadratic Regulation via Optimal Transport. CDC (2021)
Andrea Iannelli, Roy S. Smith
The role of the state in model reduction with subspace and POD-based data-driven methods. ACC (2021)
Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli, John Lygeros, Roy S. Smith
A distributed framework for linear adaptive MPC. CDC (2021)
Alexandre Didier, Anilkumar Parsi, Jeremy Coulson, Roy S. Smith
Robust Adaptive Model Predictive Control of Quadrotors. ECC (2021)
Andrea Iannelli, Mingzhou Yin, Roy S. Smith
Design of input for data-driven simulation with Hankel and Page matrices. CDC (2021)
Andrea Iannelli, Mingzhou Yin, Roy S. Smith
Design of input for data-driven simulation with Hankel and Page matrices. CoRR (2021)
Nicolas Lefebure, Mohammad Khosravi, Mathias Hudoba de Badyn, Felix Bünning, John Lygeros, Colin N. Jones, Roy S. Smith
Distributed Model Predictive Control of Buildings and Energy Hubs. CoRR (2021)
Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli, John Lygeros, Roy S. Smith
A distributed framework for linear adaptive MPC. CoRR (2021)
Mohammad Khosravi, Roy S. Smith
Kernel-Based Identification with Frequency Domain Side-Information. CoRR (2021)
Peiyuan Zhang, Antonio Orvieto, Hadi Daneshmand, Thomas Hofmann, Roy S. Smith
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization. AISTATS (2021)
Mohammad Khosravi, Roy S. Smith
Regularized Identification with Internal Positivity Side-Information. CoRR (2021)
Peiyuan Zhang, Antonio Orvieto, Hadi Daneshmand, Thomas Hofmann, Roy S. Smith
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization. CoRR (2021)
Yvonne R. Stürz, Annika Eichler, Roy S. Smith
Distributed Control Design for Heterogeneous Interconnected Systems. IEEE Trans. Autom. Control. 66 (11) (2021)
Felix Bünning, Benjamin Huber, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, Roy S. Smith, John Lygeros
Physics-informed linear regression is a competitive approach compared to Machine Learning methods in building MPC. CoRR (2021)
Chris Vermillion, Mitchell Cobb, Lorenzo Fagiano, Rachel Leuthold, Moritz Diehl, Roy S. Smith, Tony A. Wood, Sebastian Rapp, Roland Schmehl, David J. Olinger, Michael A. Demetriou
Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems. Annu. Rev. Control. 52 (2021)
Roy S. Smith, Bassam Bamieh
Median, Mean, and Variance Stability of a Process Under Temporally Correlated Stochastic Feedback. IEEE Control. Syst. Lett. 5 (3) (2021)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. CoRR (2021)
Mohammad Khosravi, Roy S. Smith
Nonlinear System Identification With Prior Knowledge on the Region of Attraction. IEEE Control. Syst. Lett. 5 (3) (2021)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Subspace Identification of Linear Time-Periodic Systems With Periodic Inputs. IEEE Control. Syst. Lett. 5 (1) (2021)
Alexandre Didier, Anilkumar Parsi, Jeremy Coulson, Roy S. Smith
Robust Adaptive Model Predictive Control of Quadrotors. CoRR (2021)
Mohammad Khosravi, Roy S. Smith
Convex Nonparametric Formulation for Identification of Gradient Flows. IEEE Control. Syst. Lett. 5 (3) (2021)
Mohammad Khosravi, Roy S. Smith
Kernel-based Impulse Response Identification with Side-Information on Steady-State Gain. CoRR (2021)
Mohammad Khosravi, Roy S. Smith
On Robustness of Kernel-Based Regularized System Identification. CoRR (2021)
Eva Ahbe, Andrea Iannelli, Roy S. Smith
Local contraction analysis of stochastic systems with limit cycles. CDC (2020)
Yvonne R. Stürz, Annika Eichler, Roy S. Smith
Distributed Control Design for Heterogeneous Interconnected Systems. CoRR (2020)
Mohammad Khosravi, Roy S. Smith
Convex Nonparametric Formulation for Identification of Gradient Flows. CoRR (2020)
Giulia De Pasquale, Yvonne R. Sturz, Maria Elena Valcher, Roy S. Smith
Extended Full Block S-Procedure for Distributed Control of Interconnected Systems. CoRR (2020)
Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
Active exploration in adaptive model predictive control. CDC (2020)
Christopher König, Mohammad Khosravi, Markus Maier, Roy S. Smith, Alisa Rupenyan, John Lygeros
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization. CoRR (2020)
Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski, Roy S. Smith, Alisa Rupenyan, John Lygeros
Performance-Driven Cascade Controller Tuning with Bayesian Optimization. CoRR (2020)
Eva Ahbe, Andrea Iannelli, Roy S. Smith
Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion. Autom. 122 (2020)
Mohammad Khosravi, Varsha Behrunani, Roy S. Smith, Alisa Rupenyan, John Lygeros
Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization. CoRR (2020)
Mohammad Khosravi, Roy S. Smith
Nonlinear System Identification with Prior Knowledge of the Region of Attraction. CoRR (2020)
Mingzhou Yin, Andrea Iannelli, Mohammad Khosravi, Anilkumar Parsi, Roy S. Smith
Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization. CoRR (2020)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. CoRR (2020)
Yvonne R. Stürz, Mohammad Khosravi, Roy S. Smith
Parameter Identification for Digital Fabrication: A Gaussian Process Learning Approach. CoRR (2020)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Subspace Identification of Linear Time-Periodic Systems with Periodic Inputs. CoRR (2020)
Andrea Iannelli, Roy S. Smith
A Multiobjective LQR Synthesis Approach to Dual Control for Uncertain Plants. IEEE Control. Syst. Lett. 4 (4) (2020)
Mingzhou Yin, Roy S. Smith
On Low-Rank Hankel Matrix Denoising. CoRR (2020)
Giulia De Pasquale, Yvonne R. Stürz, Maria Elena Valcher, Roy S. Smith
Extended Full Block S-Procedure for Distributed Control of Interconnected Systems. CDC (2020)
Felix Bünning, Joseph Warrington, Philipp Heer, Roy S. Smith, John Lygeros
Machine learning and robust MPC for frequency regulation with heat pumps. CoRR (2020)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Maximum Likelihood Estimation in Data-Driven Modeling and Control. CoRR (2020)
Andrea Iannelli, Mingzhou Yin, Roy S. Smith
Experiment design for impulse response identification with signal matrix models. CoRR (2020)
Andrea Iannelli, Martin Stefan Baumann, Samuel Balula, Roy S. Smith
Experiments and identification of thermoacoustic instabilities with the Rijke tube. CCTA (2020)
Yvonne R. Stürz, Manfred Morari, Roy S. Smith
Control of an Architectural Cable Net Geometry. IEEE Trans. Control. Syst. Technol. 28 (4) (2020)
Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
Active exploration in adaptive model predictive control. CoRR (2020)
Anilkumar Parsi, Andrea Iannelli, Mingzhou Yin, Mohammad Khosravi, Roy S. Smith
Robust Adaptive Model Predictive Control with Worst-Case Cost. CoRR (2019)
Eva Ahbe, Andrea Iannelli, Roy S. Smith
Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion. CoRR (2019)
Roy S. Smith, Bassam Bamieh
Stochasticity in Feedback Loops; Great Expectations and Guaranteed Ruin. CoRR (2019)
Mohammad Khosravi, Roy S. Smith
Kernel-Based Identification of Positive Systems. CDC (2019)
Mohammad Khosravi, Annika Eichler, Ahmed Aboudonia, Roger Buck, Roy S. Smith
Data-Driven Predictive Control of Buildings; A Regression Based Approach. CCTA (2019)
Sandro Merkli, Roy S. Smith
Power System Upgrade Planning with On-load Tap-changing Transformers, Switchable Topology and Operating Policies. ECC (2019)
Mohammad Khosravi, Annika Eichler, Nicolas Schmid, Roy S. Smith, Philipp Heer
Controller Tuning by Bayesian Optimization An Application to a Heat Pump. ECC (2019)
Andrea Iannelli, Mohammad Khosravi, Roy S. Smith
Structured exploration in the finite horizon linear quadratic dual control problem. CoRR (2019)
Angel Romero, Paul N. Beuchat, Yvonne R. Sturz, Roy S. Smith, John Lygeros
Nonlinear Control of Quadcopters via Approximate Dynamic Programming. CoRR (2019)
Georgios Darivianakis, Angelos Georghiou, Roy S. Smith, John Lygeros
The Power of Diversity: Data-Driven Robust Predictive Control for Energy-Efficient Buildings and Districts. IEEE Trans. Control. Syst. Technol. 27 (1) (2019)
Angel Romero, Paul N. Beuchat, Yvonne R. Stürz, Roy S. Smith, John Lygeros
Nonlinear Control of Quadcopters via Approximate Dynamic Programming. ECC (2019)

Roy S. Smith.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Roy S. Smith