10 citations · 10 across the 5 of their papers we have counts for
6 papers · 1 filter
Linear Stochastic Systems with i.i.d. uncertainties: Exact Covariance Characterization, Stability Analysis and State-feedback Design
Kaouther Moussa, Dimitri Peaucelle, Yohei Hosoe +1
This paper studies linear discrete-time systems affected by independent and identically distributed (i.i.d.) multiplicative uncertainties and additive noise. It establishes the mai…
MPC for tracking for anesthesia dynamics
Maxim Raymond, Kaouther Moussa, Mirko Fiacchini +1
In this paper, an MPC for tracking formulation is proposed for the control of anesthesia dynamics. It seamlessly enables the optimization of the steady-states pair that is not uniq…
Covariance Stabilization for a class of Stochastic Discrete-time Linear Systems using the S-Variable Approach
Kaouther Moussa, Dimitri Peaucelle
This paper deals with the problem of covariance stabilization for a class of linear stochastic discrete-time systems in the Stochastic Model Predictive Control (SMPC) framework. Th…
Covariance Propagation and Stabilization for Tube-Based Stochastic MPC under Parametric and Additive Uncertainties
Kaouther Moussa, Mirko Fiacchini
This work addresses an SMPC-oriented characterization of the error covariance dynamics for linear discrete-time systems subject to both additive and parametric stochastic uncertain…
Toward simple "in silico" experiments for drugs administration in some cancer treatments
Michel Fliess, Cédric Join, Kaouther Moussa +2
We present some "in silico" experiments to design combined chemo- and immunotherapy treatment schedules. We introduce a new framework by combining flatness-based control, which is…
Probabilistically Certified Region of Attraction of a Tumor Growth Model with Combined Chemo- and Immunotherapy
Kaouther Moussa, Mirko Fiacchini, Mazen Alamir
This paper deals with the estimation of regions of attraction (RoAs) under parametric uncertainties for a cancer growth model with combined therapies. We propose a framework of pro…