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20162025
most citedReliably-stabilizing piecewise-affine neural network controllers

41 citations · 65 across the 18 of their papers we have counts for

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10 papers · 1 filter

eess.SY2024

A neural network-based approach to hybrid systems identification for control

Filippo Fabiani, Bartolomeo Stellato, Daniele Masti +1

We consider the problem of designing a machine learning-based model of an unknown dynamical system from a finite number of (state-input)-successor state data points, such that the…

eess.SY2023

Control of Cross-Directional Systems using the Generalised Singular Value Decomposition

Idris Kempf, Paul J. Goulart, Stephen Duncan

Diamond Light Source produces synchrotron radiation by accelerating electrons to relativistic speeds. In order to maximise the intensity of the radiation, vibrations of the electro…

eess.SY2023

Control of Cross-Directional Systems with Approximate Symmetries

Idris Kempf, Paul Goulart, Stephen Duncan

Structural symmetries of linear dynamical systems can be exploited for decoupling the dynamics and reducing the computational complexity of the controller implementation. However,…

eess.SY2021★ 41 cited

Reliably-stabilizing piecewise-affine neural network controllers

Filippo Fabiani, Paul J. Goulart

A common problem affecting neural network (NN) approximations of model predictive control (MPC) policies is the lack of analytical tools to assess the stability of the closed-loop…

eess.SY2021

Model Predictive Control for Electron Beam Stabilization in a Synchrotron

Idris Kempf, Paul J. Goulart, Stephen R. Duncan

Electron beam stabilization in a synchrotron is a disturbance rejection problem, with hundreds of inputs and outputs, that is sampled at frequencies higher than kHz. In this f…

eess.SY2020

Stochastic output feedback MPC with intermittent observations

Shuhao Yan, Mark Cannon, Paul J. Goulart

This paper designs a model predictive control (MPC) law for constrained linear systems with stochastic additive disturbances and noisy measurements, minimising a discounted cost su…