A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...
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 ...
SINGAPORE – Passengers can expect more scheduled closures of the rail network that are stretched out over a longer period, to create more time for major upgrades of MRT lines. This is to allow repair ...
The ability of the Geneva homologous recombination deficiency (HRD) test to predict progression-free survival (PFS) in patients with high-grade ovarian cancer treated with poly (ADP-ribose) polymerase ...
Abstract: This paper introduces a tube-based Model Predictive Control (MPC) formulation for high-order uncertain Linear Parameter-Varying (LPV) systems, utilizing efficient set representations.
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, ...
This work develops a framework for building machine learning models and machine-learning-based predictive control schemes for batch crystallization processes. We consider a seeded fesoterodine ...
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, we design a robust model predictive control (MPC) controller for vehicle subjected to bounded model uncertainties, norm-bounded external disturbances and bounded time-varying delay. A ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results