Abstract: This paper proposes a new Matlab toolbox to simplify the task of designing robustified Model ... predictive controller to handle both Single-Input Single-Output or multivariable systems.

Neurodegenerative diseases like Alzheimer's are a growing concern in the U.S., with over 7 million Americans living with ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

Proximate analysis helps determine which types of municipal solid waste (MSW) are best for energy recovery. In Mbeya City, ...

Predictive performance was evaluated by the C-statistic and visually exploring model calibration. Fatigue risk prediction. To obtain a final, parsimonious model, we fit a logistic regression including ...

Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions ...

Abstract: Model-predictive control (MPC) is becoming increasingly popular in addressing the consensus problem of multiagent systems (MASs) due to its ability to manage constraints in a multivariable ...

Learn More Anthropic released Model Context Protocol (MCP ... Ben Flast, director of product at MongoDB, said MCP provides a lot more control and granularity for organizations and agents. “ ...