Abstract: With the increasing complexity of industrial systems, the frequency of simultaneous faults within these systems is also on the rise, posing a challenge to traditional fault diagnosis methods ...
UC Santa Cruz researchers are exploring how brains learn, adapt, and improve, which could help us better understand and address neurological conditions.
Abstract: A sequential pseudospectral model predictive control (SPMPC) method is proposed for nonlinear optimal midcourse guidance with a general performance index. First, the optimal midcourse ...
A recent video by Axiometa explores an unusual electronics challenge: driving addressable NeoPixel LEDs entirely in hardware, without any microcontroller or code. Since WS2812-style LEDs normally rely ...
This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...