Results 101 to 110 of about 33,284,379 (304)
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
From Model-based to Data-driven LMI-based Controller Synthesis [PDF]
openThis thesis uses Linear Matrix Inequalities (LMIs) to transition from model-based to data-driven control design, while preserving guarantees with regard to stability and performance of the resulting closed-loop system.
KRASSOWIZKIY, MICHAEL
core
Direct data-driven control of linear parameter-varying systems [PDF]
In many control applications, nonlinear plants can be modeled as linear parameter-varying (LPV) systems, by which the dynamic behavior is assumed to be linear, but also dependent on some measurable signals, e.g., operating conditions.
Roland Toth +15 more
core +1 more source
Data-Driven Adaptive Tracking Control of Unknown Autonomous Marine Vehicles
This paper is concerned with data-driven adaptive tracking control for unknown autonomous marine vehicles (AMVs) with uncertainties and disturbances.
Yongpeng Weng +4 more
doaj +1 more source
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
wiley +1 more source
Data-driven MPC for Real-time Control of an Open-die Forging Problem
International audienceModel Predictive Control (MPC) is a traditional technique widely employed to control constrained nonlinear systems. Recently, data-driven MPC has emerged as an alternative to explicit MPC strategies when sufficient data are ...
Chamoin, Ludovic +2 more
core +2 more sources
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani +3 more
wiley +1 more source
Poisoning Attacks against Data-Driven Control Methods
This paper investigates poisoning attacks against data-driven control methods. This work is motivated by recent trends showing that, in supervised learning, slightly modifying the data in a malicious manner can drastically deteriorate the prediction ...
Proutiere, Alexandre, +3 more
core +1 more source
Supervisory Multi Switching Data Driven Control Theory and Application
Due to the varying circumstances, thus resulting in frequently changed system plant, the controller must also varies with time increases. This paper proposes supervisory multi switching data driven control strategy from both theoretical analysis and ...
Hong Wangjian, Cao Lei
doaj +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source

