41 citations · 65 across the 18 of their papers we have counts for
10 papers · 1 filter
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…
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…
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,…
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…
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…
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…