18 citations · 34 across the 8 of their papers we have counts for
Showing 2020Show all
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eess.SY2020★ 7 cited
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…
eess.SY2020★ 1 cited
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…
math.OC2020
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…