A5030861797- Algal biology and biofuel production
- Gene Regulatory Network Analysis
- Mathematical Biology Tumor Growth
- Microbial Metabolic Engineering and Bioproduction
- Advanced Thermodynamics and Statistical Mechanics
- Mathematical and Theoretical Epidemiology and Ecology Models
- Chronic Myeloid Leukemia Treatments
- Process Optimization and Integration
- thermodynamics and calorimetric analyses
- Advanced Control Systems Optimization
- Biocrusts and Microbial Ecology
- Microtubule and mitosis dynamics
- Aquatic Ecosystems and Phytoplankton Dynamics
- Water Quality Monitoring and Analysis
- Cancer Cells and Metastasis
- Nonlinear Dynamics and Pattern Formation
- Bacterial Genetics and Biotechnology
- Bioeconomy and Sustainability Development
- Monoclonal and Polyclonal Antibodies Research
- Wastewater Treatment and Nitrogen Removal
- Adaptive Control of Nonlinear Systems
- Evolution and Genetic Dynamics
- Enzyme Catalysis and Immobilization
- Neural Networks Stability and Synchronization
- Hematopoietic Stem Cell Transplantation
Research Centre Inria Sophia Antipolis - Méditerranée
2024
Institut de Biologie Valrose
2020-2024
Université Côte d'Azur
2020-2024
Institut national de recherche en informatique et en automatique
2021-2024
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2022-2023
Centre National de la Recherche Scientifique
2022-2023
Laboratoire de Biologie du Développement de Villefranche-sur-Mer
2022-2023
Sorbonne Université
2022-2023
CentraleSupélec
2015-2018
Laboratoire des signaux et systèmes
2015-2018
In this paper, we investigate the problem of species separation in minimal time. Droop model is considered to describe evolution two distinct populations microorganisms that are competition for same resource a photobioreactor. We focus on an optimal control (OCP) subject five-dimensional controlled system which represents dilution rate chemostat. The objective select desired minimal-time and synthesize feedback control. This very challenging issue, since dealing with ten-dimensional...
Abstract We consider the problem of maximization metabolite production in bacterial cells formulated as a dynamical optimal control (DOCP). According to Pontryagin’s maximum principle, solutions are concatenations singular and bang arcs exhibit chattering or Fuller phenomenon, which is problematic for applications. To avoid chattering, we introduce reduced model still biologically relevant retains important structural features original problem. Using combination analytical numerical methods,...
We investigate optimization of an algal-bacterial consortium, where exogenous control input modulates bacterial resource allocation between growth and synthesis a that is limiting for algal growth. Maximization biomass pursued in continuous bioreactor, with dilution rate as additional variable. formulate optimal the two variants static dynamic problems, address them by theoretical numerical tools. explore convexity problem uniqueness its solution, show displays solution bang-bang actions...
The knowledge of Lyapunov-Krasovskii functionals offers strong advantages when investigating the local or global stability properties equilibrium points a system with delay. Unfortunately, in many cases construction these is not an easy task. This case model describing hematopoiesis, which nonlinear distributed delays, which, according to some conditions, admits one two points. By contrast approaches already used study this model, we analyze its by constructing types.
In a photobioreactor, due to the gradient of light, microalgae are successively exposed conditions low and high (inhibiting) light. This phenomenon can be captured by Han model, which is common mechanistic model photoinhibition. Based on Han's description, we introduce dynamic system growth involving two control variables: light intensity dilution rate reactor. derived from slow/fast considerations in chemostat accounting for absorption scattering following Lambert-Beer's law. Then,...
A new mathematical model that represents the coexistence between normal and leukemic populations of cells is proposed analyzed. It composed by a nonlinear time-delay system describing dynamics ordinary stem cells, coupled to differential-difference governing mutated cells. Lyapunov-like technique developed in order investigate stability properties steady state where healthy survive while ones are eradicated. Exponential solutions established, estimate their decay rate given subset basin...
A nonlinear system with distributed delays is studied. The model takes into account the fast self-renewal dynamics observed in Acute Myeloid Leukemia (AML). Stability and instability conditions are derived for zero equilibrium of AML model. Notice that, biologically, means eradication all malignant cells, which aim anti-AML therapy. novelty this work that we consider time-varying biological parameters reflecting fact differentiating self-renewing become time-variant both under effect disease...
We study a mathematical model of cohabitation healthy and unhealthy stem cells, in order to address some new biological concerns. In short, we will investigate the existence stability properties positive steady state that is well adapted dormancy cancer cells. Mathematically, are concerned with analysis nonlinear retarded system coupled differential-difference system, time-domain framework, via Lyapunov-like method.
This work is a first step towards generic and highly flexible dynamical heat transfer model for unravelling the complex nonlinear dynamics of microalgae growing in different cultivation systems under climates. Physical models predicting reactor temperature are crucial to simulate wide range scenarios therefore applying more efficient on-line system control, according present future weather conditions. However, adapting these designs complex, since they require many parameters. In this work,...
We investigate a minimal-time control problem in chemostat continuous photo-bioreactor model that describes the dynamics of two distinct microalgae populations. More precisely, our objective is to optimize time selection - or separation between species microalgae. focus this work on Droop’s which takes into account an internal quota storage for each species. Using Pontryagin’s principle, we develop dilution-based strategy steers trajectories suitable target minimal time. Our study reveals...
Most eukaryotes inherit their mitochondria from only one of parents. When there are different sexes, it is almost always the maternal that transmitted. Indeed, uniparental inheritance has been reported for brown alga Ectocarpus but we show in this study strains can exhibit patterns inheritance: siliculosus showed inheritance, as expected, crosses using species 7 exhibited either paternal or an unusual pattern transmission where progeny inherited mitochondria, not both. A possible correlation...
We want to reconcile some earlier modeling ways of the cell cycle in one common framework. Accordingly, we consider a model that contains compartment where cells may be quiescent for an unlimited time, along with proliferating phase which most divide, or die, while few them arrested during their time. In fact, cell-cycle arrest occur many reasons (DNA damages detected at checkpoints, insufficient resources grow, drug infusions). actually extend early models involving finite distributed...
In this work, we study the question of selecting in minimal-time a microalgae species interest using Droop model to describe dynamics two distinct populations competing for limiting nutrient. This amounts consider an optimal control problem governed by five-dimensional affine system which is dilution rate. Throughout paper, strategies allowing strain dominate population discussed. These results are illustrated numerical direct optimization method (implemented Bocop).