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 ...

Model predictive control (MPC) is a well-established technology for multivariable processes that was originally developed in the 1970s with the introduction of digital computer-based control systems.

Model-predictive control . Various control systems can be implemented on the flowsheet model in the form of simple PID loops (15) or with advanced model-predictive control (MPC) (17). Control loops ...

Deep reinforcement learning produces robust locomotion policies for legged robots over challenging terrains. To date, few ...

Imagine being tasked with baking a soufflé, except the only instruction provided is an ingredient list without any ...

Because the predictive model can be optimized in real time to achieve high predictive performance, the system can be applied to challenging control problems, including plasma profile control and ...