This is a preview. Log in through your library . Abstract Integrated control for automated vehicles in platoons with nonlinear coupled dynamics is developed in this article. A nonlinear MPC approach ...

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 ...

Economic Model Predictive Control (EMPC) represents an evolution of traditional control strategies, where the primary objective is to directly optimise an economic cost function rather than merely ...

Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...

C reators of the iconic iRonCub3 have introduced a new control method that helps the jet-powered humanoid robot stay stable ...

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.

Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have different boiling points. Typically, a mixture of ...

Scientists in the United States have come up with a physics-based algorithm that could one day make it possible for nuclear microreactors to adjust the power output based on need. The study was funded ...

A small cohort of pregnant women with type 1 diabetes improved time in range with use of a closed-loop insulin delivery system with a zone model predictive control algorithm, according to findings ...

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 ...