IEEE

Deep Random Forests With Adaptive Piecewise Linearization for Approximating Dynamic Nonlinear Systems and Industrial Applications

Abstract: Data-driven nonlinear system modeling is essential for capturing complex dynamics in real-world applications. However, accurately modeling these systems often requires a significant amount ...
C&EN

Neural Battery for Energy Storage System Modeling Based on Hidden-State Dynamic Process Solver

Key Laboratory on the Impact Protection and Safety Assessment of Civil Aviation Vehicle, Taicang, Jiangsu 215400, China ...
Reuters

Quanta lifts annual forecast, buys Dynamic Systems in $1.35 bln deal

July 31 (Reuters) - Infrastructure solutions provider Quanta Services (PWR.N), opens new tab raised its annual results forecast on Thursday and said it has acquired peer Dynamic Systems in a deal ...
IEEE

Distributed Adaptive Control of Nonlinear Multi-Agent Systems-Based Controller Dynamic Linearization Method

Abstract: The leader-follower consensus tracking control and containment control problems for nonlinear nonaffine multi input multi output (MIMO) multi-agent systems without a leader or with a ...
Frontiers

Physics-Aware Deep-Learning-Based Proxy Reservoir Simulation Model Equipped With State and Well Output Prediction

1 Department of Petroleum Engineering, Texas A&M University, College Station, TX, United States 2 Petrobras, Rio de Janeiro, Brazil Data-driven methods have been revolutionizing the way physicists and ...