17 citations · 56 across the 26 of their papers we have counts for
25 papers · 1 filter
Learning-Based sensitivity analysis and feedback design for drug delivery of mixed therapy of cancer in the presence of high model uncertainties
Mazen Alamir
In this paper, a methodology is proposed that enables to analyze the sensitivity of the outcome of a therapy to unavoidable high dispersion of the patient specific parameters on on…
Investigation of fast-NMPC and deep learning approach in fixed-point-based hierarchical control
Xuan-Huy Pham, Mazen Alamir, François Bonne
This paper explores some variations of a hierarchical control framework that has been recently proposed. The framework is dedicated to control a network of interconnected subsystem…
On the use of Anderson acceleration in hierarchical control
Xuan-Huy Pham, Mazen Alamir, François Bonne +1
This paper investigates the use of fixed-point Anderson acceleration method (AA) to a recently proposed hierarchical control framework. Due to its model-free property, the AA-based…
A generic fixed-point iteration-based hierarchical control design: Application to a cryogenic process
Xuan-Huy Pham, Mazen Alamir, François Bonne +1
This paper presents an extension of a recently proposed hierarchical control framework applied to a cryogenic system. While in the previous work, each sub-system in the decompositi…
A Heuristic for Dynamic Output Predictive Control Design for Uncertain Nonlinear Systems
Mazen Alamir
In this paper, a simple heuristic is proposed for the design of uncertainty aware predictive controllers for nonlinear models involving uncertain parameters. The method relies on M…
Partial Extended Observability Certification and Optimal Design of Moving Horizon Estimators Under Uncertainties
Mazen Alamir
This paper addresses the observability analysis and the optimal design of observation parameters in the presence of noisy measurements and parametric uncertainties. The main underl…
On the use of Data-Driven Cost Function Identification in Parametrized NMPC
Mazen Alamir
In this paper, a framework with complete numerical investigation is proposed regarding the feasibility of constrained Nonlinear Model Predictive Control (NMPC) design using Data-Dr…
A new formulation of Economic Model Predictive Control without terminal constraint
Mazen Alamir, Gabriele Pannochia
In this paper, it is shown that a simple formulation of Economic Model Predictive Control can be used which possesses two features that are generally viewed as mutually exclusive,…
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…
Explicit approximation of stochastic optimal feedback control for combined therapy of cancer
Mazen Alamir
In this paper, a tractable methodology is proposed to approximate stochastic optimal feedback treatment in the context of mixed immuno-chemo therapy of cancer. The method uses a fi…
On the use of supervised clustering in stochastic NMPC design
Mazen Alamir
In this paper, a supervised clustering based-heuristic is proposed for the real-time implementation of approximate solutions to stochastic nonlinear model predictive control framew…
Computing control invariant sets in high dimension is easy
Mirko Fiacchini, Mazen Alamir
In this paper we consider the problem of computing control invariant sets for linear controlled high-dimensional systems with constraints on the input and on the states. Set inclus…
Computing control invariant sets is easy
Mirko Fiacchini, Mazen Alamir
In this paper we consider the problem of computing control invariant sets for linear controlled systems with constraints on the input and on the states. We focus in particular on t…
The pdf-mpc Package: A Free-Matlab-Coder package for Real-Time Nonlinear Model Predictive Control
Mazen Alamir
This paper describes the Parametrized Derivative-Free Model Predictive Control pdf-mpc package, a matlab coder-based set of subroutines that enables a model predictive control prob…
Fixed-point Based Hierarchical MPC Control Design For a Cryogenic Refrigerator
M. Alamir, P. Bonnay, F. Bonne +1
In this paper, a simple and general hierarchical control framework is proposed and validated through the interconnection of the Joule-Thompson and the Brayton cycle stages of a cry…
Stability proof for nonlinear MPC design using monotonically increasing weighting profiles without terminal constraints
Mazen Alamir
In this note, a new formulation of Model Predictive Control (MPC) framework with no stability-related terminal constraint is proposed and its stability is proved under mild standar…
Output Feedback Control of a Class of Uncertain Systems Under Control-derivative dependent disturbances
Mazen Alamir, Jean Dobrowolski, Amgad tarek Mohammed
This paper addresses the design of robust dynamic output feedback control for highly uncertain systems in which the unknown disturbance might be excited by the derivative of the co…
A New Contraction-Based NMPC Formulation Without Stability-Related terminal Constraints
Mazen Alamir
Contraction-Based Nonlinear Model Predictive Control (NMPC) formulations are attractive because of the generally short prediction horizons they require and the needless use of term…
A State-Dependent Updating Period For Certified Real-Time Model Predictive Control
Mazen Alamir
In this paper, a state-dependent control updating period framework is proposed that leads to real-time implementable Model Predictive Control with certified practical stability res…
On Probabilistic Certification of Combined Cancer Therapies Using Strongly Uncertain Models
Mazen Alamir
This paper proposes a general framework for probabilistic certification of cancer therapies. The certification is defined in terms of two key issues which are the tumor contraction…
NLP Solutions as Asymptotic Values of ODE Trajectories
Mazen Alamir
In this paper, it is shown that the solutions of general differentiable constrained optimization problems can be viewed as asymptotic solutions to sets of Ordinary Differential Equ…
Experimental Investigation of Control Updating Period Monitoring In Industrial PLC-based Fast MPC: Application to The Constrained Control of a Cryogenic Refrigerator
François Bonne, Mazen Alamir, Patrick Bonnay
In this paper, a complete industrial validation of a recently published scheme for on-line adaptation of the control updating period in Model Predictive Control is proposed. The in…
On Adaptive Measurement Inclusion Rate In Real-Time Moving-Horizon Observers
Mazen Alamir
This paper investigates a self adaptation mechanism regarding the rate with which new measurements have to be incorporated in Moving-Horizon state estimation algorithms. This inves…
A New Identification Framework For Off-Line Computation of Moving-Horizon Observers
Mazen Alamir
In this paper, a new nonlinear identification framework is proposed to address the issue of off-line computation of moving-horizon observer estimate. The proposed structure merges…