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Roy Smith

Roy Smith
Prof.
Roy Smith
PI
ETH Zurich
rsmith@control.ee.ethz.ch
Curriculum Vitae

Roy Smith is a Professor at the Automatic Control Lab (IfA) at ETH Zürich.  His research interests are in the broad area of modeling, identification, and control of  interacting uncertain systems. His work spans theory, algorithms, and application domains. Specific domains include: process control, vibration and structural control, semiconductor manufacturing, spacecraft formation control, aeromanoeuvring Martian landings, power generating kites, building and energy networks, and thermoacoustic machines.

Scientific Publications

to Appear
A Dual System-Level Parameterization for Identification from Closed-Loop Data
62nd IEEE Conference on Decision and Control
Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy Smith
Doi.org
Published
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch
Proceedings of the 2022 IEEE 61st Conference on Decision and Control (CDC)
Efe Balta, Andrea Iannelli, Roy Smith, John Lygeros
Collection
Published
Control of Multicarrier Energy Systems from Buildings to Networks
Annual Review of Control, Robotics, and Autonomous Systems
Vol 6 No 1 Pages 391-414
Roy Smith, Varsha N. Behrunani, John Lygeros
Doi.org Collection
Published
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization
EEE Transactions on Industrial Electronics
Mohammad Khosravi, Christopher Koenig, Markus Maier, Roy Smith, John Lygeros, Alisa Rupenyan
Doi.org Collection

Research projects

Title
Principal Investigators

Identification and modeling paradigms for feedback models

Roy Smith

Summary

This project will investigate and characterise the differences between dynamic models based on open-loop experimental data, and those derived from closed-loop operation. Open-loop configurations lead to predictive models with errors that can reliably be characterised, while feedback configurations lead to characterisations in which the errors are heavy-tailed. The standard measures of model suitability are not applicable in such situations making the objective of minimising variance or mean-square error poorly posed. We will develop modelling frameworks and methods tailored to characterising errors based on the form of the stochastic error distribution.

People involved

Roy Smith
Roy Smith
Identification and modeling paradigms for feedback models
Roy Smith

This project will investigate and characterise the differences between dynamic models based on open-loop experimental data, and those derived from closed-loop operation. Open-loop configurations lead to predictive models with errors that can reliably be characterised, while feedback configurations lead to characterisations in which the errors are heavy-tailed. The standard measures of model suitability are not applicable in such situations making the objective of minimising variance or mean-square error poorly posed. We will develop modelling frameworks and methods tailored to characterising errors based on the form of the stochastic error distribution.

Roy Smith
Roy Smith
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