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

Distributed model predictive control (DMPC) offers a computationally efficient alternative to centralized model predictive control (CMPC) for enabling the optimal control of industrial process systems ...

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 ...

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 ...

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 ...

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 ...

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.

A new physics-based algorithm clears a path toward nuclear microreactors that can autonomously adjust power output based on ...