UAV Drone Testing with Rapid Control Prototyping ... analysis of dynamic systems using MATLAB. Virtual Hardware and Labs for Controls [Course] - A course on using virtual hardware and labs for control ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood.

When every team can use data to make smarter decisions, the playing field is leveled and the door opens to a more innovative, ...

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 ...

Abstract: Finite control set model predictive control has received extensive attention because of its excellent dynamic performance; however, it still needs to be studied in terms of torque ripples ...

“General Scales Unlock AI Evaluation with Explanatory and Predictive Power,” they introduce a methodology that goes beyond measuring overall accuracy. It assesses the knowledge and cognitive abilities ...

emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.

Current methods to assess the impact of chemical mixtures on organisms ignore the temporal dimension. The General Unified Threshold model for Survival (GUTS) provides a framework for deriving ...