Abstract: This article focuses on dynamic event-triggered mechanism (DETM)-based model predictive control (MPC) for T-S fuzzy systems. A hybrid dynamic variables-dependent DETM is carefully devised, ...

Introduction: Advanced statistical modeling techniques, such as copula-based methods, have significantly improved the forecasting of weather variables by capturing dependencies between them. However, ...

Abstract: Gaussian mixture model (GMM) and Dirichlet process mixture model (DPMM) are the primary techniques used to characterize uncertainties in power systems, which are commonly solved by ...

Using historical exogeneous variables in TimeXer model results in error. A quick look at the paper suggests that the architecture is designed specifically to account ...

The Mustang Mach-E May is the leading electric SUV alternative to the Tesla Model Y in the U.S. My quick-take review explains why. BlueCruise: Let me address the Mach-E’s Advanced Driver Assist System ...

Multicoin Capital has proposed changing Solana’s token emission model to a variable-rate system. If staking participation falls below 50%, token issuance will increase to encourage staking. Around 65% ...

In my last blog, I analyzed welding procedure specifications (WPSs). In this installment, I thought it might be time to address a specific part of the whole WPS—essential variables. Essential ...

Introduction: Machine learning models hold potential for improved cardiometabolic disease prediction and more efficacious prevention and intervention efforts. Current models are limited by use of ...