The main goal of this work is to develop a data-driven Reduced Order Model (ROM) strategy
from high-fidelity simulation result data of a Full Order Model (FOM). The goal is to predict at …

Stable partitioned techniques for simulating unsteady fluid-structure interaction (FSI) are
known to be computationally expensive when high added-mass is involved. Multiple …

The distributed leader-follower control of multi-agent systems is discussed. Each agent is
expressed in a discrete-time and non-linear dynamic model with an unknown parameter and …

Ensuring high quality of various layers within a tire demands efficient process control.
Rubber calendering does not depart from this important evolution of the tire machinery …

The paper presents a framework for online learning of the Koopman operator using
streaming data. Many complex systems for which data-driven modeling and control are …

The recursive result of multi body space system dynamics is a dynamic process. In this
process, multiple discrete points can be used to analyze the research objects. The space …