Implementation of numerical optimization algorithms in MATLAB, including derivative-free and gradient-based methods for unconstrained problems, and projection techniques for constrained optimization.

When model-based multivariable control made its debut in the 1980s, it was expected that process models, once acquired through a plant step test, would be durable and long lived. However, this ...

Conjugate gradient methods form a class of iterative algorithms that are highly effective for solving large‐scale unconstrained optimisation problems. They achieve efficiency by constructing search ...

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Abstract: This paper presents an optimal multivariable control (OMC) strategy for the LCC-LCC compensated wireless power transfer (WPT) systems. To mitigate reactive power and achieve higher ...

Abstract: Robustness of Model Predictive Control (MPC) has been extensively investigated, considering both on-line and off-line strategies. However the implementation of the theoretical background ...

We utilize a physical pulse generator (from the master clock or photodiode) for the pulse generation to synchronize the camera triggering to the laser. Since we're imaging a phosphor screen, the x-ray ...