Dynamic optimisation and model predictive control (MPC) are at the forefront of modern process systems engineering, offering robust methodologies to address the challenges posed by time-varying ...

Here, we present new biophysical models of gene expression that enable engineers to rationally design and optimize genetic systems with desired functionalities, using statistical thermodynamics, ...

Locomotion through rolling is attractive compared to other forms of locomotion thanks to uniform designs, high degree of mobility, dynamic stability, and self-recovery from collision. Despite previous ...

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

The air conditioner compressor motor driver as shown in Fig.1 utilizes advanced model-free predictive control technology, ensuring efficient and stable operation under varying load conditions.

This talk, intended for the general chemical engineering audience, provides an overview and assessment of the research progress in the fields of dynamic operation of chemical processes and process ...