The problem with efficiently linearizing large language models (LLMs) is multifaceted. The quadratic attention mechanism in traditional Transformer-based LLMs, while powerful, is computationally ...
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 algorithms of nonlinear Kalman filter, the so-called extended Kalman filter algorithm actually uses first-order Taylor expansion approach to transform a nonlinear system into a linear system. It is ...
The wearable sensor market is growing at an annual compound rate of 17.8%. However, sensors have challenges, particularly in terms of miniaturization and power consumption. Several key parameters are ...
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 ...
1 Shaanxi Key Laboratory of Smart Grid, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China 2 Economic and Technological Research Institute State Grid Shanxi Electric Power ...
Abstract: Nonlinear Negative Imaginary (NI) systems arise in various engineering applications, such as controlling flexible structures and air vehicles. However, unlike linear NI systems, their theory ...
Abstract: Through assembling the navigation parameters as the matrix Lie group state, the corresponding inertial navigation system (INS) kinematic model possesses a ...
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