Abstract: This paper proposes a novel tube-based geometric model predictive control (GMPC) framework on Lie groups for robust and real-time trajectory tracking ...

Abstract: Model predictive control (MPC) is a powerful tool for modern wind energy conversion system (WECS). However, the stochastic uncertainty existed in wind speed presents a great challenge for ...

In the field of aerial microrobots, the challenge of speed and agility has long remained a dream. Although natural flyers like bees, flies, and dragonflies can execute extremely swift aerobatic ...

The professional gambler understands risk – and that’s why he swapped betting on the NBA for owning a Spanish third-tier club “Floyd Mayweather was my beard,” says the sharpest mind in sport, ...

Humans and animals learn the internal model of bodies and environments from their experience and stabilize posture against disturbances based on the predicted future states according to the internal ...

In this paper, a stochastic model predictive control (MPC) is proposed for the wheeled mobile robot to track a reference trajectory within a finite task horizon. The wheeled mobile robot is supposed ...

For those who cannot decide if they want a sports car or a luxury sedan, Audi offers the best of both worlds with the 2021 S8. It features a twin-turbo V8 that packs a punch while a smooth ride is ...

An established theoretical model, predictive coding, states that the brain is constantly building models (signifying changing predictions) of the environment. The brain does this by forming ...

How left-right patterning drives asymmetric morphogenesis is unclear. Here, we have quantified shape changes during mouse heart looping, from 3D reconstructions by HREM. In combination with cell ...

The present work demonstrates, for the first time, the development of a computationally efficient closed-loop system with a model predictive controller (MPC) where a computational fluid dynamics (CFD) ...