Abstract: This paper proposes a novel cooperative coevolutionary algorithm (CCEA)-based distributed model predictive control (MPC) that guarantees asymptotic stability of multiagent systems whose ...

Abstract: This paper presents an adaptive and weighted model predictive control (MPC) algorithm for autonomous driving with disturbance estimation and prediction. Unexpected and unpredictable ...

BMPC is a model-based reinforcement learning algorithm built on TD-MPC2’s world model, designed to enhance policy learning through expert iteration. BMPC leverages Model Predictive Control (MPC) to ...

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.

Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, ...

The Slotozilla model is based on the principle that players first examine RTP, volatility, and bonus mechanics before ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...

TL;DR Agentic lead generation structures replace legacy scraping workflows with automated intent-tracking and continuous ...

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

By Kwami Ahiabenu, PhD Embodied Intelligence enables physical manifestation of Artificial Intelligence (AI).\xa0 Embodied ...

Ducati is expanding its off-road lineup with the introduction of the Desmo250 MX. Following the release of the 450 MX, ...