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

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 ...

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 ...

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 ...

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

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 ...

Nuclear microreactors—compact, transportable power sources that can produce up to 20 megawatts of thermal energy—could one ...

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.