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 ' ...

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

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 ...

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

Engineering design is often largely about the tradeoffs among the approaches to solving various challenges while meeting overall project objectives. These tradeoffs may be global such as balancing ...

Previous versions of JSBSim appear to have supported linearization and simplex trim from the console executable and xml scripts. For example, this current xml script attempts to access both features ...

Abstract: This article presents an incremental linear model predictive control (ILMPC) scheme based on the global linearization prediction neural network (GLPNN) model to compensate nondispersed and ...

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 ...