Abstract: This article aims at solving the problems of data-driven control design in the presence of strong uncertainties, hard nonlinearities, and model dependency by using a dynamic linearization ...

I am using the linearized version of OC4Semi (5MW_OC4Semi_Linear). When using the MAP mooring model, the linearization process runs normally. However, when I run the command system([openFASTexe ' ...

Linearity and efficiency are simultaneously two important aspects for designing a power amplifier (PA) dedicated to 5G millimeter-wave applications. However, a PA suffers a trade-off between these two ...

The problem with efficiently linearizing large language models (LLMs) is multifaceted. The quadratic attention mechanism in traditional Transformer-based LLMs, while powerful, is computationally ...

Discrete LQR control for determining the optimal inhibitor dose level for an anti-angiogenic therapy based on a mathematical model of tumor growth dynamics. Regulation and trajectory tracking of ...

The data show that a separation between circular and linear plasmid DNA is possible and the performed linearization can be monitored using SEC-HPLC. Join the global community of analytical scientists ...

Abstract: Boost circuits have different small-signal linearization models at various steady-state operating points. Traditional control methods involve designing a PI controller based on a specific ...

Accurately modeling nonlinear dynamical systems using observable data remains a significant challenge across various fields such as fluid dynamics, climate science, and mechanical engineering.

In this paper, we propose a method for finding the best piecewise linearization of nonlinear functions. For this aim, we try to obtain the best approximation of a nonlinear function as a piecewise ...