Roy S. Smith

Orcid: 0000-0002-8139-4683

According to our database1, Roy S. Smith authored at least 146 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Small Noise Analysis of Non-Parametric Closed-Loop Identification.
CoRR, 2024

Optimal Data-Driven Prediction and Predictive Control using Signal Matrix Models.
CoRR, 2024

Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data.
CoRR, 2024

2023
Kernel-Based Impulse Response Identification With Side-Information on Steady-State Gain.
IEEE Trans. Autom. Control., October, 2023

An Explicit Dual Control Approach for Constrained Reference Tracking of Uncertain Linear Systems.
IEEE Trans. Autom. Control., May, 2023

Control of Multicarrier Energy Systems from Buildings to Networks.
Annu. Rev. Control. Robotics Auton. Syst., May, 2023

Kernel-based identification with frequency domain side-information.
Autom., April, 2023

The existence and uniqueness of solutions for kernel-based system identification.
Autom., February, 2023

Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization.
IEEE Trans. Ind. Electron., 2023

Maximum Likelihood Estimation in Data-Driven Modeling and Control.
IEEE Trans. Autom. Control., 2023

Error Bounds for Kernel-Based Linear System Identification With Unknown Hyperparameters.
IEEE Control. Syst. Lett., 2023

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., 2023

Frequency-Domain Identification of Discrete-Time Systems using Sum-of-Rational Optimization.
CoRR, 2023

Stochastic Data-Driven Predictive Control: Regularization, Estimation, and Constraint Tightening.
CoRR, 2023

Closed-Loop Identification of Stabilized Models Using Dual Input-Output Parameterization.
CoRR, 2023

Peak Estimation of Rational Systems using Convex Optimization.
CoRR, 2023

MIMO Grid Impedance Identification of Three-Phase Power Systems: Parametric vs. Nonparametric Approaches.
CoRR, 2023

Distributed Multi-Horizon Model Predictive Control for Network of Energy Hubs.
CoRR, 2023

Once upon a time step: A closed-loop approach to robust MPC design.
CoRR, 2023

Diagonally Square Root Integrable Kernels in System Identification.
CoRR, 2023

A Dual System-Level Parameterization for Identification from Closed-Loop Data.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

MIMO Grid Impedance Identification of Three-Phase Power Systems: Parametric vs. Nonparametric Approaches.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Stochastic Energy Pricing of an Electric Vehicle Parking Lot.
IEEE Trans. Smart Grid, 2022

Performance-Driven Cascade Controller Tuning With Bayesian Optimization.
IEEE Trans. Ind. Electron., 2022

Dual adaptive MPC using an exact set-membership reformulation.
CoRR, 2022

Scalable tube model predictive control of uncertain linear systems using ellipsoidal sets.
CoRR, 2022

Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates.
Proceedings of the European Control Conference, 2022

Infinite-Dimensional Sparse Learning in Linear System Identification.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Computationally efficient robust MPC using optimized constraint tightening.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Distributed Control Design for Heterogeneous Interconnected Systems.
IEEE Trans. Autom. Control., 2021

Subspace Identification of Linear Time-Periodic Systems With Periodic Inputs.
IEEE Control. Syst. Lett., 2021

Median, Mean, and Variance Stability of a Process Under Temporally Correlated Stochastic Feedback.
IEEE Control. Syst. Lett., 2021

Convex Nonparametric Formulation for Identification of Gradient Flows.
IEEE Control. Syst. Lett., 2021

Nonlinear System Identification With Prior Knowledge on the Region of Attraction.
IEEE Control. Syst. Lett., 2021

Regularized Identification with Internal Positivity Side-Information.
CoRR, 2021

Physics-informed linear regression is a competitive approach compared to Machine Learning methods in building MPC.
CoRR, 2021

Distributed Model Predictive Control of Buildings and Energy Hubs.
CoRR, 2021

On Robustness of Kernel-Based Regularized System Identification.
CoRR, 2021

The Balanced Mode Decomposition Algorithm for Data-Driven LPV Low-Order Models of Aeroservoelastic Systems.
CoRR, 2021

Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems.
Annu. Rev. Control., 2021

Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Robust Adaptive Model Predictive Control of Quadrotors.
Proceedings of the 2021 European Control Conference, 2021

A distributed framework for linear adaptive MPC.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Design of input for data-driven simulation with Hankel and Page matrices.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Discrete-Time Linear-Quadratic Regulation via Optimal Transport.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

The role of the state in model reduction with subspace and POD-based data-driven methods.
Proceedings of the 2021 American Control Conference, 2021

Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Control of an Architectural Cable Net Geometry.
IEEE Trans. Control. Syst. Technol., 2020

A Multiobjective LQR Synthesis Approach to Dual Control for Uncertain Plants.
IEEE Control. Syst. Lett., 2020

Parameter Identification for Digital Fabrication: A Gaussian Process Learning Approach.
CoRR, 2020

Experiment design for impulse response identification with signal matrix models.
CoRR, 2020

On Low-Rank Hankel Matrix Denoising.
CoRR, 2020

Machine learning and robust MPC for frequency regulation with heat pumps.
CoRR, 2020

Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization.
CoRR, 2020

Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization.
CoRR, 2020

Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion.
Autom., 2020

Extended Full Block S-Procedure for Distributed Control of Interconnected Systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Active exploration in adaptive model predictive control.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Local contraction analysis of stochastic systems with limit cycles.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Experiments and identification of thermoacoustic instabilities with the Rijke tube.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019
The Power of Diversity: Data-Driven Robust Predictive Control for Energy-Efficient Buildings and Districts.
IEEE Trans. Control. Syst. Technol., 2019

Stochasticity in Feedback Loops; Great Expectations and Guaranteed Ruin.
CoRR, 2019

Robust Adaptive Model Predictive Control with Worst-Case Cost.
CoRR, 2019

Structured exploration in the finite horizon linear quadratic dual control problem.
CoRR, 2019

Nonlinear Control of Quadcopters via Approximate Dynamic Programming.
Proceedings of the 17th European Control Conference, 2019

Power System Upgrade Planning with On-load Tap-changing Transformers, Switchable Topology and Operating Policies.
Proceedings of the 17th European Control Conference, 2019

Controller Tuning by Bayesian Optimization An Application to a Heat Pump.
Proceedings of the 17th European Control Conference, 2019

Kernel-Based Identification of Positive Systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Data-Driven Predictive Control of Buildings; A Regression Based Approach.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

2018
Iterative Learning Control for the Radio Frequency Subsystems of a Free-Electron Laser.
IEEE Trans. Control. Syst. Technol., 2018

Mutually Quadratically Invariant Information Structures in Two-Team Stochastic Dynamic Games.
IEEE Trans. Autom. Control., 2018

A Projected Gradient and Constraint Linearization Method for Nonlinear Model Predictive Control.
SIAM J. Control. Optim., 2018

Scalable Controller Synthesis for Heterogeneous Interconnected Systems Applicable to an Overlapping Control Framework.
Proceedings of the 16th European Control Conference, 2018

Globally Optimal AC Power System Upgrade Planning under Operational Policy Constraints.
Proceedings of the 16th European Control Conference, 2018

Stability Verification for Periodic Trajectories of Autonomous Kite Power Systems.
Proceedings of the 16th European Control Conference, 2018

Transverse Contraction-Based Stability Analysis for Periodic Trajectories of Controlled Power Kites with Model Uncertainty.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Model Predictive Approaches for Active Surge Control in Centrifugal Compressors.
IEEE Trans. Control. Syst. Technol., 2017

Optimal Control of Gains in a Linear Accelerator: A Supervisory Method for Vector-Sum Control.
IEEE Trans. Control. Syst. Technol., 2017

Predictive Control of Autonomous Kites in Tow Test Experiments.
IEEE Control. Syst. Lett., 2017

Fixed Mode Elimination by Minimum Communication Within an Estimator-Based Framework for Distributed Control.
IEEE Control. Syst. Lett., 2017

A Data-Driven Stochastic Optimization Approach to the Seasonal Storage Energy Management.
IEEE Control. Syst. Lett., 2017

Low-complexity first-order constraint linearization methods for efficient nonlinear MPC.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Model Predictive Climate Control of a Swiss Office Building: Implementation, Results, and Cost-Benefit Analysis.
IEEE Trans. Control. Syst. Technol., 2016

Time-Delayed Feedback Control of Electron Beam Energy Using H<sub>∞</sub>-Optimal Fractional Delay.
IEEE Trans. Control. Syst. Technol., 2016

A Convex Characterization of Robust Stability for Positive and Positively Dominated Linear Systems.
IEEE Trans. Autom. Control., 2016

On the optimal control problem for a class of monotone bilinear systems.
CoRR, 2016

Robust-based control design for the beam injector facility.
Proceedings of the 15th European Control Conference, 2016

A variant to Sequential Quadratic Programming for nonlinear Model Predictive Control.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Convex reformulation of a robust optimal control problem for a class of positive systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Sequential quadratic programming for the control of an architectural cable net geometry.
Proceedings of the 2016 American Control Conference, 2016

Two methods for the identification of uncertain parameters of an architectural cable net geometry.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
Active Surge control of electrically driven centrifugal compressors.
Proceedings of the 14th European Control Conference, 2015

An adaptive iterative learning control scheme for reducing CO2 emission in gasoline engines.
Proceedings of the 14th European Control Conference, 2015

Nuclear norm minimization algorithms for subspace identification from non-uniformly spaced frequency data.
Proceedings of the 14th European Control Conference, 2015

Circuit generation for efficient projection onto polyhedral sets in first-order methods.
Proceedings of the 14th European Control Conference, 2015

Model-based flight path planning and tracking for tethered wings.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Model Predictive Control approaches for centrifugal compression systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

MPC based supervisory control design for a Free Electron Laser.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Range-inertial estimation for airborne wind energy.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A stochastic optimization approach to cooperative building energy management via an energy hub.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Quadratic two-team games.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Model-based identification and control of the velocity vector orientation for autonomous kites.
Proceedings of the American Control Conference, 2015

Optimization algorithms for nuclear norm based subspace identification with uniformly spaced frequency domain data.
Proceedings of the American Control Conference, 2015

Robust stability of a class of interconnected nonlinear positive systems.
Proceedings of the American Control Conference, 2015

2014
Frequency Domain Subspace Identification Using Nuclear Norm Minimization and Hankel Matrix Realizations.
IEEE Trans. Autom. Control., 2014

Adaptive receding horizon control for constrained MIMO systems.
Autom., 2014

Convex characterization of robust stability analysis and control synthesis for positive linear systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

BRCM Matlab Toolbox: Model generation for model predictive building control.
Proceedings of the American Control Conference, 2014

2013
Adaptive model predictive control with exploring property for constrained linear systems that uses basis function model parametrization.
CoRR, 2013

Adaptive model predictive control for constrained linear systems.
Proceedings of the 12th European Control Conference, 2013

Towards a standardized building assessment for demand response.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Adaptive Model Predictive Control for Constrained MIMO Systems.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

2012
Semi-automated modular modeling of buildings for model predictive control.
Proceedings of the BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, 2012

Nuclear norm minimization methods for frequency domain subspace identification.
Proceedings of the American Control Conference, 2012

2009
Design of distributed decentralized estimators for formations with fixed and stochastic communication topologies.
Autom., 2009

2008
Elimination of fixed modes of a decentralized distributed estimator with inter-agent communication.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Closed-Loop Dynamics of Cooperative Vehicle Formations With Parallel Estimators and Communication.
IEEE Trans. Autom. Control., 2007

Distributed Estimator Design for a Formation with Markovian Communication Topology.
Proceedings of the American Control Conference, 2007

Design of a Distributed Decentralized Estimator for a Formation with Fixed Communication Topology.
Proceedings of the American Control Conference, 2007

2006
Simultaneous measurement of steering performance and perceived heading on a curving path.
ACM Trans. Appl. Percept., 2006

Preview based path-following in the presence of input constraints.
Proceedings of the American Control Conference, 2006

2004
Robust model predictive control of constrained linear systems.
Proceedings of the 2004 American Control Conference, 2004

2002
A nonlinear functional approach to LFT model validation.
Syst. Control. Lett., 2002

Control topologies for deep space formation flying spacecraft.
Proceedings of the American Control Conference, 2002

A generalized H<sub>∞</sub> control system design attenuating initial state uncertainties.
Proceedings of the American Control Conference, 2002

2001
Control of a III-V MOCVD process using ultraviolet absorption and ultrasonic concentration monitoring.
IEEE Trans. Control. Syst. Technol., 2001

Fundamental limits in robustness and performance for unstable, underactuated systems.
IEEE Trans. Autom. Control., 2001

H<sub>∞</sub> control system design attenuating initial state uncertainties: evaluation by a magnetic suspension system.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
Model validation for nonlinear feedback systems.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Solving large structured semidefinite programs using an inexact spectral bundle method.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Robustness comparison of a magnetic bearing system in various measurement configurations.
Proceedings of the American Control Conference, 2000

A bundle method for efficiently solving large structured linear matrix inequalities.
Proceedings of the American Control Conference, 2000

1999
Correction to "Optimal control of perturbed linear static systems".
IEEE Trans. Autom. Control., 1999

1998
A generalization of the structured singular value and its application to model validation.
IEEE Trans. Autom. Control., 1998

Modeling and validation of nonlinear feedback systems.
Proceedings of the Robustness in Identification and Control, Workshop Robustness in Identification and Control, Siena, Italy, July 30, 1998

1997
A study of the gap between the structured singular value and its convex upper bound for low-rank matrices.
IEEE Trans. Autom. Control., 1997

1996
Optimal control of perturbed linear static systems.
IEEE Trans. Autom. Control., 1996

Continuous-time control model validation using finite experimental data.
IEEE Trans. Autom. Control., 1996

A continuous-time extension condition.
IEEE Trans. Autom. Control., 1996

1995
Eigenvalue perturbation models for robust control.
IEEE Trans. Autom. Control., 1995

Model validation for robust control: an experimental process control application.
Autom., 1995

1994
The design of H<sub>∞</sub> controllers for an experimental non-collocated flexible structure problem.
IEEE Trans. Control. Syst. Technol., 1994

Finite-dimensional approximation and error bounds for spectral systems with partially known eigenstructure.
IEEE Trans. Autom. Control., 1994

Uncertain Models and Robust Control (A. Weinmann).
SIAM Rev., 1994


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