Abstract: An adaptive model predictive control (MPC) is proposed in this paper to stabilize linear constrained systems with parametric uncertainties. The proposed control is designed by combining ...

Abstract: We consider the problem of optimizing the economic performance of nonlinear constrained systems subject to uncertain time-varying parameters and bounded disturbances. In particular, we ...

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 ...

Applying model-predictive methods and a continuous process-control framework to a continuous tablet-manufacturing process. Currently, there is a high level of interest in the pharmaceutical industry ...

Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits. The growing ...

Fusion energy is being developed as a solution to global energy problems. In particular, the magnetic confinement method, in which ultra-high temperature plasma is confined by a magnetic field, is the ...

Artificial intelligence (AI) tools are revolutionizing the way entire industries operate. The potential scope of AI is firmly in our public consciousness, whether through scare stories about the ...