18 citations · 34 across the 8 of their papers we have counts for
8 papers
Learning-based Homothetic Tube MPC
Yulong Gao, Shuhao Yan, Jian Zhou +1
In this paper, we study homothetic tube model predictive control (MPC) of discrete-time linear systems subject to bounded additive disturbance and mixed constraints on the state an…
A Distributionally Robust Approach to Regret Optimal Control using the Wasserstein Distance
Feras Al Taha, Shuhao Yan, Eilyan Bitar
This paper proposes a distributionally robust approach to regret optimal control of discrete-time linear dynamical systems with quadratic costs subject to a stochastic additive dis…
Learning-based Rigid Tube Model Predictive Control
Yulong Gao, Shuhao Yan, Jian Zhou +3
This paper is concerned with model predictive control (MPC) of discrete-time linear systems subject to bounded additive disturbance and mixed constraints on the state and input, wh…
Data-Driven Approximations of Chance Constrained Programs in Nonstationary Environments
Shuhao Yan, Francesca Parise, Eilyan Bitar
We study sample average approximations (SAA) of chance constrained programs. SAA methods typically approximate the actual distribution in the chance constraint using an empirical d…
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…
Stochastic MPC with Dynamic Feedback Gain Selection and Discounted Probabilistic Constraints
Shuhao Yan, Paul J. Goulart, Mark Cannon
This paper considers linear discrete-time systems with additive disturbances, and designs a Model Predictive Control (MPC) law incorporating a dynamic feedback gain to minimise a q…
Output feedback stochastic MPC with packet losses
Shuhao Yan, Mark Cannon, Paul Goulart
The paper considers constrained linear systems with stochastic additive disturbances and noisy measurements transmitted over a lossy communication channel. We propose a model predi…
Stochastic Model Predictive Control with Discounted Probabilistic Constraints
Shuhao Yan, Paul Goulart, Mark Cannon
This paper considers linear discrete-time systems with additive disturbances, and designs a Model Predictive Control (MPC) law to minimise a quadratic cost function subject to a ch…