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Roy S. Smith
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2020 – today
- 2024
- [c68]Mohamed Abdalmoaty
, Efe C. Balta, John Lygeros, Roy S. Smith:
Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data. ECC 2024: 935-940 - [i58]Mohamed Abdalmoaty
Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data. CoRR abs/2403.05899 (2024) - [i57]Roy S. Smith, Mohamed Abdalmoaty
Optimal Data-Driven Prediction and Predictive Control using Signal Matrix Models. CoRR abs/2403.15329 (2024) - [i56]Mohamed Abdalmoaty
Small Noise Analysis of Non-Parametric Closed-Loop Identification. CoRR abs/2403.15771 (2024) - [i55]Anastasios Tsiamis, Mohamed Abdalmoaty
Finite Sample Frequency Domain Identification. CoRR abs/2404.01100 (2024) - [i54]Jared Miller, Niklas Schmid, Matteo Tacchi, Didier Henrion, Roy S. Smith:
Peak Time-Windowed Risk Estimation of Stochastic Processes. CoRR abs/2404.06961 (2024) - 2023
- [j51]Roy S. Smith, Varsha Behrunani, John Lygeros:
Control of Multicarrier Energy Systems from Buildings to Networks. Annu. Rev. Control. Robotics Auton. Syst. 6: 391-414 (2023) - [j50]Mohammad Khosravi
The existence and uniqueness of solutions for kernel-based system identification. Autom. 148: 110728 (2023) - [j49]Mohammad Khosravi
Kernel-based identification with frequency domain side-information. Autom. 150: 110813 (2023) - [j48]Mingzhou Yin
Error Bounds for Kernel-Based Linear System Identification With Unknown Hyperparameters. IEEE Control. Syst. Lett. 7: 2491-2496 (2023) - [j47]Luigi Glielmo
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: 3415-3416 (2023) - [j46]Mingzhou Yin
Maximum Likelihood Estimation in Data-Driven Modeling and Control. IEEE Trans. Autom. Control. 68(1): 317-328 (2023) - [j45]Anilkumar Parsi
An Explicit Dual Control Approach for Constrained Reference Tracking of Uncertain Linear Systems. IEEE Trans. Autom. Control. 68(5): 2652-2666 (2023) - [j44]Mohammad Khosravi
Kernel-Based Impulse Response Identification With Side-Information on Steady-State Gain. IEEE Trans. Autom. Control. 68(10): 6401-6408 (2023) - [j43]Mohammad Khosravi
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization. IEEE Trans. Ind. Electron. 70(2): 2128-2138 (2023) - [c67]Verena Häberle, Linbin Huang, Xiuqiang He
MIMO Grid Impedance Identification of Three-Phase Power Systems: Parametric vs. Nonparametric Approaches. CDC 2023: 542-548 - [c66]Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
A Dual System-Level Parameterization for Identification from Closed-Loop Data. CDC 2023: 4506-4511 - [i53]Mohammad Khosravi
Diagonally Square Root Integrable Kernels in System Identification. CoRR abs/2302.12929 (2023) - [i52]Mingzhou Yin, Roy S. Smith:
Error Bounds for Kernel-Based Linear System Identification with Unknown Hyperparameters. CoRR abs/2303.09842 (2023) - [i51]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 abs/2303.11021 (2023) - [i50]Varsha Behrunani, Hanmin Cai, Philipp Heer, Roy S. Smith, John Lygeros:
Distributed Multi-Horizon Model Predictive Control for Network of Energy Hubs. CoRR abs/2304.14089 (2023) - [i49]Verena Häberle, Linbin Huang, Xiuqiang He
MIMO Grid Impedance Identification of Three-Phase Power Systems: Parametric vs. Nonparametric Approaches. CoRR abs/2305.00192 (2023) - [i48]Jared Miller, Roy S. Smith:
Peak Estimation of Rational Systems using Convex Optimization. CoRR abs/2311.08321 (2023) - [i47]Ran Chen, Amber Srivastava, Mingzhou Yin, Roy S. Smith:
Closed-Loop Identification of Stabilized Models Using Dual Input-Output Parameterization. CoRR abs/2311.09019 (2023) - [i46]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Stochastic Data-Driven Predictive Control: Regularization, Estimation, and Constraint Tightening. CoRR abs/2312.02758 (2023) - [i45]Mohamed Abdalmoaty
Frequency-Domain Identification of Discrete-Time Systems using Sum-of-Rational Optimization. CoRR abs/2312.15722 (2023) - 2022
- [j42]Mohammad Khosravi
Performance-Driven Cascade Controller Tuning With Bayesian Optimization. IEEE Trans. Ind. Electron. 69(1): 1032-1042 (2022) - [j41]Giovanni Gino Zanvettor
Stochastic Energy Pricing of an Electric Vehicle Parking Lot. IEEE Trans. Smart Grid 13(4): 3069-3081 (2022) - [c65]Defne E. Ozan, Mingzhou Yin, Andrea Iannelli
Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models. CDC 2022: 221-226 - [c64]Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli
Infinite-Dimensional Sparse Learning in Linear System Identification. CDC 2022: 850-855 - [c63]Efe C. Balta, Andrea Iannelli
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch. CDC 2022: 1479-1484 - [c62]Anilkumar Parsi, Panagiotis Anagnostaras, Andrea Iannelli
Computationally efficient robust MPC using optimized constraint tightening. CDC 2022: 1770-1775 - [c61]Mingzhou Yin, Andrea Iannelli
Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. ECC 2022: 853-858 - [i44]Anilkumar Parsi, Andrea Iannelli, Roy S. Smith:
An explicit dual control approach for constrained reference tracking of uncertain linear systems. CoRR abs/2202.02351 (2022) - [i43]Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli
Infinite-Dimensional Sparse Learning in Linear System Identification. CoRR abs/2203.14731 (2022) - [i42]Defne E. Ozan, Mingzhou Yin, Andrea Iannelli
Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models. CoRR abs/2203.16306 (2022) - [i41]Anilkumar Parsi, Andrea Iannelli
Scalable tube model predictive control of uncertain linear systems using ellipsoidal sets. CoRR abs/2204.02134 (2022) - [i40]Anilkumar Parsi, Panagiotis Anagnostaras, Andrea Iannelli
Computationally efficient robust MPC using optimized constraint tightening. CoRR abs/2204.02142 (2022) - [i39]Efe C. Balta, Andrea Iannelli, Roy S. Smith, John Lygeros:
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch. CoRR abs/2204.04722 (2022) - [i38]Mohammad Khosravi
The Existence and Uniqueness of Solutions for Kernel-Based System Identification. CoRR abs/2204.08092 (2022) - [i37]Anilkumar Parsi, Diyou Liu, Andrea Iannelli
Dual adaptive MPC using an exact set-membership reformulation. CoRR abs/2211.16300 (2022) - 2021
- [j40]Chris Vermillion, Mitchell Cobb, Lorenzo Fagiano
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: 330-357 (2021) - [j39]Mingzhou Yin, Andrea Iannelli
Subspace Identification of Linear Time-Periodic Systems With Periodic Inputs. IEEE Control. Syst. Lett. 5(1): 145-150 (2021) - [j38]Roy S. Smith
Median, Mean, and Variance Stability of a Process Under Temporally Correlated Stochastic Feedback. IEEE Control. Syst. Lett. 5(3): 857-862 (2021) - [j37]Mohammad Khosravi
Nonlinear System Identification With Prior Knowledge on the Region of Attraction. IEEE Control. Syst. Lett. 5(3): 1091-1096 (2021) - [j36]Mohammad Khosravi
Convex Nonparametric Formulation for Identification of Gradient Flows. IEEE Control. Syst. Lett. 5(3): 1097-1102 (2021) - [j35]Yvonne R. Stürz
Distributed Control Design for Heterogeneous Interconnected Systems. IEEE Trans. Autom. Control. 66(11): 5112-5127 (2021) - [c60]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: 3979-3987 - [c59]Andrea Iannelli
The role of the state in model reduction with subspace and POD-based data-driven methods. ACC 2021: 4484-4490 - [c58]Andrea Iannelli
Design of input for data-driven simulation with Hankel and Page matrices. CDC 2021: 139-145 - [c57]Anilkumar Parsi, Ahmed Aboudonia
A distributed framework for linear adaptive MPC. CDC 2021: 460-465 - [c56]Mathias Hudoba de Badyn
Discrete-Time Linear-Quadratic Regulation via Optimal Transport. CDC 2021: 3060-3065 - [c55]Alexandre Didier
Robust Adaptive Model Predictive Control of Quadrotors. ECC 2021: 657-662 - [c54]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. L4DC 2021: 1004-1014 - [i36]Andrea Iannelli, Urban Fasel, Roy S. Smith:
The Balanced Mode Decomposition Algorithm for Data-Driven LPV Low-Order Models of Aeroservoelastic Systems. CoRR abs/2102.03763 (2021) - [i35]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 abs/2102.11537 (2021) - [i34]Alexandre Didier, Anilkumar Parsi, Jeremy Coulson, Roy S. Smith:
Robust Adaptive Model Predictive Control of Quadrotors. CoRR abs/2102.13544 (2021) - [i33]Mohammad Khosravi, Roy S. Smith:
On Robustness of Kernel-Based Regularized System Identification. CoRR abs/2105.12516 (2021) - [i32]Andrea Iannelli, Mingzhou Yin, Roy S. Smith:
Design of input for data-driven simulation with Hankel and Page matrices. CoRR abs/2109.04742 (2021) - [i31]Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli, John Lygeros, Roy S. Smith:
A distributed framework for linear adaptive MPC. CoRR abs/2109.05777 (2021) - [i30]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 abs/2110.01734 (2021) - [i29]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 abs/2110.15911 (2021) - [i28]Mohammad Khosravi, Roy S. Smith:
Regularized Identification with Internal Positivity Side-Information. CoRR abs/2111.00407 (2021) - [i27]Mohammad Khosravi, Roy S. Smith:
Kernel-based Impulse Response Identification with Side-Information on Steady-State Gain. CoRR abs/2111.00409 (2021) - [i26]Mohammad Khosravi, Roy S. Smith:
Kernel-Based Identification with Frequency Domain Side-Information. CoRR abs/2111.00410 (2021) - [i25]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. CoRR abs/2111.04789 (2021) - 2020
- [j34]Eva Ahbe, Andrea Iannelli
Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion. Autom. 122: 109187 (2020) - [j33]Andrea Iannelli
A Multiobjective LQR Synthesis Approach to Dual Control for Uncertain Plants. IEEE Control. Syst. Lett. 4(4): 952-957 (2020) - [j32]Yvonne R. Stürz
Control of an Architectural Cable Net Geometry. IEEE Trans. Control. Syst. Technol. 28(4): 1378-1392 (2020) - [c53]Andrea Iannelli
Experiments and identification of thermoacoustic instabilities with the Rijke tube. CCTA 2020: 757-763 - [c52]Eva Ahbe, Andrea Iannelli
Local contraction analysis of stochastic systems with limit cycles. CDC 2020: 2014-2019 - [c51]Giulia De Pasquale
Extended Full Block S-Procedure for Distributed Control of Interconnected Systems. CDC 2020: 5628-5633 - [c50]Anilkumar Parsi, Andrea Iannelli
Active exploration in adaptive model predictive control. CDC 2020: 6186-6191 - [i24]Mingzhou Yin, Andrea Iannelli, Mohammad Khosravi, Anilkumar Parsi, Roy S. Smith:
Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization. CoRR abs/2003.06653 (2020) - [i23]Mohammad Khosravi, Roy S. Smith:
Nonlinear System Identification with Prior Knowledge of the Region of Attraction. CoRR abs/2003.12330 (2020) - [i22]Mohammad Khosravi, Roy S. Smith:
Convex Nonparametric Formulation for Identification of Gradient Flows. CoRR abs/2003.12336 (2020) - [i21]Anilkumar Parsi, Andrea Iannelli, Roy S. Smith:
Active exploration in adaptive model predictive control. CoRR abs/2003.14120 (2020) - [i20]Yvonne R. Stürz, Annika Eichler, Roy S. Smith:
Distributed Control Design for Heterogeneous Interconnected Systems. CoRR abs/2004.04876 (2020) - [i19]Mohammad Khosravi, Varsha Behrunani, Roy S. Smith, Alisa Rupenyan
Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization. CoRR abs/2005.03970 (2020) - [i18]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Subspace Identification of Linear Time-Periodic Systems with Periodic Inputs. CoRR abs/2006.03838 (2020) - [i17]Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski, Roy S. Smith, Alisa Rupenyan
Performance-Driven Cascade Controller Tuning with Bayesian Optimization. CoRR abs/2007.12536 (2020) - [i16]Felix Bünning, Joseph Warrington, Philipp Heer, Roy S. Smith, John Lygeros:
Machine learning and robust MPC for frequency regulation with heat pumps. CoRR abs/2009.06920 (2020) - [i15]Christopher König, Mohammad Khosravi, Markus Maier, Roy S. Smith, Alisa Rupenyan
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization. CoRR abs/2010.15211 (2020) - [i14]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Maximum Likelihood Estimation in Data-Driven Modeling and Control. CoRR abs/2011.00925 (2020) - [i13]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. CoRR abs/2012.04678 (2020) - [i12]Giulia De Pasquale, Yvonne R. Sturz, Maria Elena Valcher, Roy S. Smith:
Extended Full Block S-Procedure for Distributed Control of Interconnected Systems. CoRR abs/2012.06398 (2020) - [i11]Mingzhou Yin, Roy S. Smith:
On Low-Rank Hankel Matrix Denoising. CoRR abs/2012.07433 (2020) - [i10]Andrea Iannelli, Mingzhou Yin, Roy S. Smith:
Experiment design for impulse response identification with signal matrix models. CoRR abs/2012.08126 (2020) - [i9]Yvonne R. Stürz, Mohammad Khosravi, Roy S. Smith:
Parameter Identification for Digital Fabrication: A Gaussian Process Learning Approach. CoRR abs/2012.11022 (2020)
2010 – 2019
- 2019
- [j31]Georgios Darivianakis
The Power of Diversity: Data-Driven Robust Predictive Control for Energy-Efficient Buildings and Districts. IEEE Trans. Control. Syst. Technol. 27(1): 132-145 (2019) - [c49]Mohammad Khosravi
Data-Driven Predictive Control of Buildings; A Regression Based Approach. CCTA 2019: 605-610 - [c48]Mohammad Khosravi
Kernel-Based Identification of Positive Systems. CDC 2019: 1740-1745 - [c47]Sandro Merkli, Roy S. Smith
Power System Upgrade Planning with On-load Tap-changing Transformers, Switchable Topology and Operating Policies. ECC 2019: 1424-1430 - [c46]Mohammad Khosravi
Controller Tuning by Bayesian Optimization An Application to a Heat Pump. ECC 2019: 1467-1472 - [c45]Angel Romero
Nonlinear Control of Quadcopters via Approximate Dynamic Programming. ECC 2019: 3752-3759 - [i8]Angel Romero, Paul N. Beuchat, Yvonne R. Sturz, Roy S. Smith, John Lygeros:
Nonlinear Control of Quadcopters via Approximate Dynamic Programming. CoRR abs/1902.06551 (2019) - [i7]Andrea Iannelli, Mohammad Khosravi, Roy S. Smith:
Structured exploration in the finite horizon linear quadratic dual control problem. CoRR abs/1910.14492 (2019) - [i6]Eva Ahbe, Andrea Iannelli, Roy S. Smith:
Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion. CoRR abs/1911.00252 (2019) - [i5]Anilkumar Parsi, Andrea Iannelli, Mingzhou Yin, Mohammad Khosravi, Roy S. Smith:
Robust Adaptive Model Predictive Control with Worst-Case Cost. CoRR abs/1911.08607 (2019) - [i4]Roy S. Smith, Bassam Bamieh:
Stochasticity in Feedback Loops; Great Expectations and Guaranteed Ruin. CoRR abs/1912.08267 (2019) - 2018
- [j30]Giampaolo Torrisi, Sergio Grammatico
A Projected Gradient and Constraint Linearization Method for Nonlinear Model Predictive Control. SIAM J. Control. Optim. 56(3): 1968-1999 (2018) - [j29]Marcello Colombino
Mutually Quadratically Invariant Information Structures in Two-Team Stochastic Dynamic Games. IEEE Trans. Autom. Control. 63(7): 2256-2263 (2018) - [j28]Amin Rezaeizadeh
Iterative Learning Control for the Radio Frequency Subsystems of a Free-Electron Laser. IEEE Trans. Control. Syst. Technol. 26(5): 1567-1577 (2018) - [c44]Eva Ahbe, Tony A. Wood
Transverse Contraction-Based Stability Analysis for Periodic Trajectories of Controlled Power Kites with Model Uncertainty. CDC 2018: 6501-6506 - [c43]Eva Ahbe, Tony A. Wood
Stability Verification for Periodic Trajectories of Autonomous Kite Power Systems. ECC 2018: 46-51 - [c42]Sandro Merkli, Alexander Domahidi, Juan Luis Jerez, Roy S. Smith
Globally Optimal AC Power System Upgrade Planning under Operational Policy Constraints. ECC 2018: 131-136 - [c41]Yvonne R. Sturz, Annika Eichler, Roy S. Smith
Scalable Controller Synthesis for Heterogeneous Interconnected Systems Applicable to an Overlapping Control Framework. ECC 2018: 2561-2568 - 2017
- [j27]Tony A. Wood
Predictive Control of Autonomous Kites in Tow Test Experiments. IEEE Control. Syst. Lett. 1(1): 110-115 (2017) - [j26]Yvonne R. Sturz
Fixed Mode Elimination by Minimum Communication Within an Estimator-Based Framework for Distributed Control. IEEE Control. Syst. Lett. 1(2): 346-351 (2017) - [j25]Georgios Darivianakis
A Data-Driven Stochastic Optimization Approach to the Seasonal Storage Energy Management. IEEE Control. Syst. Lett. 1(2): 394-399 (2017) - [j24]Amin Rezaeizadeh
Optimal Control of Gains in a Linear Accelerator: A Supervisory Method for Vector-Sum Control. IEEE Trans. Control. Syst. Technol. 25(5): 1800-1806 (2017) - [j23]Giampaolo Torrisi
Model Predictive Approaches for Active Surge Control in Centrifugal Compressors. IEEE Trans. Control. Syst. Technol. 25(6): 1947-1960 (2017) - [c40]Giampaolo Torrisi, Sergio Grammatico, Damian Frick
Low-complexity first-order constraint linearization methods for efficient nonlinear MPC. CDC 2017: 4376-4381 - 2016
- [j22]Marcello Colombino
A Convex Characterization of Robust Stability for Positive and Positively Dominated Linear Systems. IEEE Trans. Autom. Control. 61(7): 1965-1971 (2016) - [j21]David Sturzenegger, Dimitrios Gyalistras, Manfred Morari, Roy S. Smith
Model Predictive Climate Control of a Swiss Office Building: Implementation, Results, and Cost-Benefit Analysis. IEEE Trans. Control. Syst. Technol. 24(1): 1-12 (2016) - [j20]Amin Rezaeizadeh
Time-Delayed Feedback Control of Electron Beam Energy Using H∞-Optimal Fractional Delay. IEEE Trans. Control. Syst. Technol. 24(6): 2176-2181 (2016) - [c39]Yvonne R. Sturz, Manfred Morari, Roy S. Smith:
Two methods for the identification of uncertain parameters of an architectural cable net geometry. CCA 2016: 804-809 - [c38]Yvonne R. Sturz, Manfred Morari, Roy S. Smith
Sequential quadratic programming for the control of an architectural cable net geometry. ACC 2016: 3503-3508 - [c37]Giampaolo Torrisi, Sergio Grammatico
A variant to Sequential Quadratic Programming for nonlinear Model Predictive Control. CDC 2016: 2814-2819 - [c36]Marcello Colombino
Convex reformulation of a robust optimal control problem for a class of positive systems. CDC 2016: 5263-5268 - [c35]Amin Rezaeizadeh, Thomas Schilcher, Roy S. Smith
Robust-based control design for the beam injector facility. ECC 2016: 346-351 - [i3]Georgios Darivianakis, Angelos Georghiou, Roy S. Smith, John Lygeros:
The Power of Diversity: Data-Driven Robust Predictive Control for Energy Efficient Buildings and Districts. CoRR abs/1607.05441 (2016) - [i2]Neil K. Dhingra, Marcello Colombino, Mihailo R. Jovanovic, Anders Rantzer, Roy S. Smith:
On the optimal control problem for a class of monotone bilinear systems. CoRR abs/1611.09984 (2016) - 2015
- [c34]Mogens Graf Plessen, Vito Semeraro, Tony A. Wood
Optimization algorithms for nuclear norm based subspace identification with uniformly spaced frequency domain data. ACC 2015: 1119-1124 - [c33]Tony A. Wood
Model-based identification and control of the velocity vector orientation for autonomous kites. ACC 2015: 2377-2382 - [c32]Marcello Colombino
Robust stability of a class of interconnected nonlinear positive systems. ACC 2015: 5312-5317 - [c31]Alexander Millane, Henrik Hesse
Range-inertial estimation for airborne wind energy. CDC 2015: 455-460 - [c30]Amin Rezaeizadeh, Thomas Schilcher, Roy S. Smith
MPC based supervisory control design for a Free Electron Laser. CDC 2015: 1682-1686 - [c29]Giampaolo Torrisi, Sergio Grammatico
Model Predictive Control approaches for centrifugal compression systems. CDC 2015: 4320-4325 - [c28]Marcello Colombino
Quadratic two-team games. CDC 2015: 4557-4562 - [c27]Tony A. Wood
Model-based flight path planning and tracking for tethered wings. CDC 2015: 6712-6717 - [c26]Georgios Darivianakis, Angelos Georghiou
A stochastic optimization approach to cooperative building energy management via an energy hub. CDC 2015: 7814-7819 - [c25]Amin Rezaeizadeh, Roy S. Smith
An adaptive iterative learning control scheme for reducing CO2 emission in gasoline engines. ECC 2015: 1394-1397 - [c24]Giampaolo Torrisi, Victor H. Jaramillo, James R. Ottewill, Sébastien Mariéthoz, Manfred Morari, Roy S. Smith
Active Surge control of electrically driven centrifugal compressors. ECC 2015: 1614-1619 - [c23]Mogens Graf Plessen, Tony A. Wood
Nuclear norm minimization algorithms for subspace identification from non-uniformly spaced frequency data. ECC 2015: 2032-2037 - [c22]Sandro Merkli, Juan Luis Jerez, Alexander Domahidi, Roy S. Smith
Circuit generation for efficient projection onto polyhedral sets in first-order methods. ECC 2015: 3440-3445 - 2014
- [j19]Marko Tanaskovic, Lorenzo Fagiano
Adaptive receding horizon control for constrained MIMO systems. Autom. 50(12): 3019-3029 (2014) - [j18]Roy S. Smith
Frequency Domain Subspace Identification Using Nuclear Norm Minimization and Hankel Matrix Realizations. IEEE Trans. Autom. Control. 59(11): 2886-2896 (2014) - [c21]David Sturzenegger, Dimitrios Gyalistras, Vito Semeraro, Manfred Morari, Roy S. Smith
BRCM Matlab Toolbox: Model generation for model predictive building control. ACC 2014: 1063-1069 - [c20]Marcello Colombino
Convex characterization of robust stability analysis and control synthesis for positive linear systems. CDC 2014: 4379-4384 - 2013
- [c19]Marko Tanaskovic, Lorenzo Fagiano
Adaptive Model Predictive Control for Constrained MIMO Systems. ALCOSP 2013: 39-44 - [c18]Frauke Oldewurtel, David Sturzenegger, Göran Andersson, Manfred Morari, Roy S. Smith
Towards a standardized building assessment for demand response. CDC 2013: 7083-7088 - [c17]Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith
Adaptive model predictive control for constrained linear systems. ECC 2013: 382-387 - [i1]Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Manfred Morari:
Adaptive model predictive control with exploring property for constrained linear systems that uses basis function model parametrization. CoRR abs/1309.5304 (2013) - 2012
- [c16]Roy S. Smith
Nuclear norm minimization methods for frequency domain subspace identification. ACC 2012: 2689-2694 - [c15]David Sturzenegger, Dimitrios Gyalistras, Manfred Morari, Roy S. Smith
Semi-automated modular modeling of buildings for model predictive control. BuildSys@SenSys 2012: 99-106
2000 – 2009
- 2009
- [j17]Maxim V. Subbotin, Roy S. Smith
Design of distributed decentralized estimators for formations with fixed and stochastic communication topologies. Autom. 45(11): 2491-2501 (2009) - 2008
- [c14]Maxim V. Subbotin, Roy S. Smith
Elimination of fixed modes of a decentralized distributed estimator with inter-agent communication. CDC 2008: 2545-2550 - 2007
- [j16]Roy S. Smith
Closed-Loop Dynamics of Cooperative Vehicle Formations With Parallel Estimators and Communication. IEEE Trans. Autom. Control. 52(8): 1404-1414 (2007) - [c13]Maxim V. Subbotin, Roy S. Smith
Design of a Distributed Decentralized Estimator for a Formation with Fixed Communication Topology. ACC 2007: 5025-5030 - [c12]Maxim V. Subbotin, Roy S. Smith
Distributed Estimator Design for a Formation with Markovian Communication Topology. ACC 2007: 5046-5051 - 2006
- [j15]Jonathan W. Kelly, Andrew C. Beall, Jack M. Loomis, Roy S. Smith
Simultaneous measurement of steering performance and perceived heading on a curving path. ACM Trans. Appl. Percept. 3(2): 83-94 (2006) - [c11]Maxim V. Subbotin, Dragan B. Dacic, Roy S. Smith
Preview based path-following in the presence of input constraints. ACC 2006: 1-6 - 2004
- [c10]Roy S. Smith
Robust model predictive control of constrained linear systems. ACC 2004: 245-250 - 2003
- [c9]Jon D. Burnsed, Steven P. DenBaars, Roy S. Smith:
Limitations of using a normal-incidence, in-situ, optical growth rate monitor for controlling nitride semiconductor deposition by metalorganic chemical vapor deposition. CCA 2003: 849-855 - 2002
- [j14]Geir E. Dullerud, Roy S. Smith
A nonlinear functional approach to LFT model validation. Syst. Control. Lett. 47(1): 1-11 (2002) - [c8]Toru Namerikawa
A generalized H∞ control system design attenuating initial state uncertainties. ACC 2002: 2204-2209 - [c7]Roy S. Smith
Control topologies for deep space formation flying spacecraft. ACC 2002: 2836-2841 - 2001
- [j13]Nancy Morse Thibeault, Roy S. Smith
Fundamental limits in robustness and performance for unstable, underactuated systems. IEEE Trans. Autom. Control. 46(8): 1265-1268 (2001) - [j12]M. Gaffney Flynn, Roy S. Smith
Control of a III-V MOCVD process using ultraviolet absorption and ultrasonic concentration monitoring. IEEE Trans. Control. Syst. Technol. 9(5): 728-740 (2001) - [c6]Toru Namerikawa, Masayuki Fujita, Roy S. Smith:
H∞ control system design attenuating initial state uncertainties: evaluation by a magnetic suspension system. CDC 2001: 87-92 - 2000
- [c5]Scott A. Miller, Roy S. Smith:
A bundle method for efficiently solving large structured linear matrix inequalities. ACC 2000: 1405-1409 - [c4]Nancy Morse Thibeault, Roy S. Smith:
Robustness comparison of a magnetic bearing system in various measurement configurations. ACC 2000: 3002-3003 - [c3]Roy S. Smith
Model validation for nonlinear feedback systems. CDC 2000: 1232-1236 - [c2]Scott A. Miller, Roy S. Smith
Solving large structured semidefinite programs using an inexact spectral bundle method. CDC 2000: 5027-5032
1990 – 1999
- 1999
- [j11]Roy S. Smith
Correction to "Optimal control of perturbed linear static systems". IEEE Trans. Autom. Control. 44(10): 1900-1901 (1999) - 1998
- [j10]Matthew P. Newlin, Roy S. Smith
A generalization of the structured singular value and its application to model validation. IEEE Trans. Autom. Control. 43(7): 901-907 (1998) - [c1]Roy S. Smith, Geir E. Dullerud:
Modeling and validation of nonlinear feedback systems. Robustness in Identification and Control 1998: 87-101 - 1997
- [j9]Roy S. Smith
A study of the gap between the structured singular value and its convex upper bound for low-rank matrices. IEEE Trans. Autom. Control. 42(8): 1176-1179 (1997) - 1996
- [j8]Roy S. Smith
Optimal control of perturbed linear static systems. IEEE Trans. Autom. Control. 41(4): 579-584 (1996) - [j7]Geir E. Dullerud, Roy S. Smith
A continuous-time extension condition. IEEE Trans. Autom. Control. 41(5): 738-742 (1996) - [j6]Roy S. Smith
Continuous-time control model validation using finite experimental data. IEEE Trans. Autom. Control. 41(8): 1094-1105 (1996) - 1995
- [j5]Roy S. Smith
Model validation for robust control: an experimental process control application. Autom. 31(11): 1637-1647 (1995) - [j4]Roy S. Smith
Eigenvalue perturbation models for robust control. IEEE Trans. Autom. Control. 40(6): 1063-1066 (1995) - 1994
- [j3]Charles Kenney, Roy S. Smith:
Uncertain Models and Robust Control (A. Weinmann). SIAM Rev. 36(1): 127-128 (1994) - [j2]M. A. Erickson, Roy S. Smith
Finite-dimensional approximation and error bounds for spectral systems with partially known eigenstructure. IEEE Trans. Autom. Control. 39(9): 1904-1909 (1994) - [j1]Roy S. Smith
The design of H∞ controllers for an experimental non-collocated flexible structure problem. IEEE Trans. Control. Syst. Technol. 2(2): 101-109 (1994)
Coauthor Index
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