Abstract: Wheeled mobile robots often face external disturbances during trajectory tracking tasks, which can significantly degrade control system performance, especially in high-precision applications ...

Abstract: Despite the success of Gaussian process based Model Predictive Control (MPC), its applicability scope is greatly hindered by multimodal disturbances that are prevalent in real-world settings ...

Background: Ensuring the consistent availability of operating theatre supplies is critical for safe surgical care. However, supply chain disruptions remain common in low ...

Artificial intelligence (AI) increasingly influences clinical decision-making, yet its recommendations may diverge from ...

Model predictive control (MPC) has emerged as a leading methodology for steering nonlinear processes by solving a constrained optimisation problem at each sampling instant. By forecasting future ...

Model predictive control (MPC) has emerged as a pivotal strategy for the guidance and navigation of unmanned aerial vehicles (UAVs), marrying optimisation theory with real-time control. By solving a ...

The indictment of a soldier who bet on the U.S. operation to capture President Nicolás Maduro of Venezuela put renewed focus on a new way to gamble, and a new way to cheat. By Victor Mather Prediction ...

The strength model of willpower enjoys both supporters and critics, earning both influence and critique since its development in the mid-'90s. It is often cited in discussions around psychology’s ...

Intercepting fast-moving objects, such as during baseball batting, requires the seamless integration of visual perception and motor execution under severe temporal constraints. Although the critical ...

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...