Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...
Abstract: This brief is concerned with the frequency control problem of the unknown Markov jump power systems via model-free static output feedback control approach. Due to introduction of PID control ...
In this example, we demonstrate how to model power electronics devices that perform current control using MathWorks products, focusing on: The modeling style introduced in this example is not a ...
Comprehensive repository offering official resources, detailed guides, and reference materials for Wolfram SystemModeler on Windows PCs. Designed to support users with accurate documentation and ...
Abstract: This article investigates the distributed control problem for nonlinear multiagent systems (MASs) with unknown system models. A novel distributed model-free adaptive learning algorithm is ...