Hybrid Modeling with a Reduced Order Model and Neural Network App
March 24, 2025
Physical modeling offers predictive capabilities and a deeper understanding of system behavior through fundamental physics. However, in some cases, achieving lower computational costs or faster processing is more desirable. These use cases can benefit from hybrid modeling—a method that combines models with different traits, such as physics-based components and data-driven techniques. Reduced Order Modeling (ROM) […]
Predictive Motion Control Considering Body Attitude Constraints for Four in-Wheel Motor Vehicles – IEEE CDC 2023 Winners
February 13, 2024
This blog is authored by the IEEE CDC Autonomous Driving Benchmark Control Challenge Gold Award winners from Tongji University, made up of Hongqing Chu, Zongxuan Li, Qiao Kang, Zhenghao Li, Bingzhao Gao, and Hong Chen. This post details the innovative use of Model Predictive Control (MPC) to develop a controller for a vehicle dynamic system. […]
Modelon and Iquant Consulting Form Partnership to Deliver Digital Twin Solutions for Predictive Maintenance
March 8, 2023
Modelon and Iquant Consulting have entered a strategic partnership to deliver a digital twin-based approach for the predictive maintenance of power plants and energy infrastructure. Most predictive maintenance solutions available today do not involve the physical modeling of critical components of an asset and are based on assumptions of component performance. This can result in […]
What is FMI?
September 12, 2019
What is the Functional Mock-up Interface (FMI)? FMI is an open standard for exchanging dynamical simulation models between different tools in a standardized format. The FMI standard specifies an open format for exporting and importing simulation models. This means that you can select the tool best suited for each type of analysis while keeping the same […]