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 ...

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 ...

The proposed control system for autonomous search and rescue robots integrates heuristic motion planning and TMPC, ensuring ...

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 ...

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 ...

C reators of the iconic iRonCub3 have introduced a new control method that helps the jet-powered humanoid robot stay stable and follow flight paths in simulation, a step forward for efforts to combine ...

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 ...

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.