Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Labroots

Log-linear Model for Modeling for Biases in Microbiome Studies

Microbiome sequencing data are known to be biased; the measured taxa relative abundances can be systematically distorted from their true values at every step in the experimental/analysis workflow. If ...
IEEE

Data-Driven Linear Parameter-Varying Model Predictive Control for Unknown Nonlinear Systems

Abstract: This article proposes a data-driven linear parameter variation model predictive control (DDLPVMPC) method for unknown nonlinear (NL) systems. The approach eliminates reliance on prior ...
IEEE

Data-Driven Model Predictive Current Control for PMSM Drives with Bayesian Linear Regression

Abstract: The conventional model predictive current control (MPCC) method is highly sensitive to motor parameters, resulting in decreased control performance when the model parameters are mismatched ...
来自MSN

Dallas considers changes to DART funding model, city library programming

With several cities considering whether to stop funding DART, Dallas is weighing changes in how it pays for the transit services. Trump orders release of Arkansas congressman's son serving drug ...
GitHub

KQ-LMPC: Koopman LMPC for Quadrotors

🚀 KQ-LMPC is the fastest open-source Koopman MPC controller for quadrotors: zero training data, fully explainable, hardware-proven SE(3) control. ⚡ Real-time convex MPC (<10 ms) • Stability ...