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

Multivariable control systems design and optimization addresses the task of regulating multiple interdependent process variables within a single framework. Unlike single‐loop controllers, ...

Abstract: Electromagnetic optimization utilizing finite element or similar numerical techniques always carries a heavy burden of computation; therefore, an efficient optimizer reducing the number of ...

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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 ...

Abstract: The PI controller is the most basic and widely used for the permanent magnet synchronous motor speed control. The cumbersome parameter adjustment process makes it difficult for the PI ...

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