A nonlinear model predictive controller for variable load process of High-Temperature Gas-cooled was established, which overcomes the problems of system coupling, nonlinearity, and time-varying ...

In this letter, we design a model predictive controller (MPC) for systems to satisfy Signal Temporal Logic (STL) specifications when the system dynamics are partially unknown, and only a nominal model ...

The unmeasurable gear backlash nonlinearity caused by mechanical wear in multimotor driving systems (MDSs) is inevitable, imposing challenges for the modeling and controller design. As a remedy, this ...

Applying model-predictive methods and a continuous process-control framework to a continuous tablet-manufacturing process.

The unsteady flow model is applied to the chosen study area and the results obtained from the model are used to simulate the dynamics of the canal system using model predictive controller toolbox. The ...

The current path tracking control method is usually based on the steering wheel angle loop, which often makes the driver lose control of the automatic driving control loop. In order to involve the ...

Predictive modeling uses known results to create, process, and validate a model that can be used to forecast future outcomes.