In a groundbreaking advancement for motor control, Model-Free Predictive Control (MFPC) technology has emerged as a ...

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 ...

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 (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 ...

Water is a resource essential for life, as valuable as it is limited. For this reason, and especially in contexts of water ...

Deep reinforcement learning produces robust locomotion policies for legged robots over challenging terrains. To date, few studies have leveraged model-based methods to combine these locomotion skills ...

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 ...

With the deployment of this new predictive model, PropheSee, CCS has observed increases in adherence rates among targeted, high-risk patient cohorts by as much as 50% compared to control groups.* ...