Dynamic modelling and analysis of hoisting systems constitute a critical research domain that bridges theoretical mechanics with practical engineering applications. This field aims to accurately ...

This course covers differential equation derivation to model systems, solving these equations through Laplace transforms to determine transfer functions for simple mechanical, electrical, and ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

What was once experimental research is now becoming operational backbone across modern energy systems. In the editorial ...

While dynamic modeling is arguably one of the most important technological developments for engineers in the last 50 years, many process control engineers are unable to use it. It requires proper time ...

How model-based systems engineering (MBSE) has improved system design. Thermal design and MBE come together. When considering systems-level design, it’s important to understand the criticality of the ...

System Dynamics is a computer-aided approach for strategy and policy design. The main goal is to help people make better decisions when confronted with complex, dynamic systems. The approach provides ...

In many real-world systems, such as fireflies flashing, Japanese tree frogs croaking, magnetic Janus particles, neurons firing, and in various engineered systems like drone swarms and wireless sensor ...

Simulating fires in airtight or mechanically ventilated compartments—such as those found in nuclear facilities and ...