Abstract: This article investigates the model predictive tracking control problem for nonlinear systems represented by Takagi–Sugeno fuzzy models. First, in order to alleviate the online computational ...
Current HOS regulations rely on manual clocks and paper-log logic. A Dynamic Hours of Service framework uses biometric ...
DFG and Polish FNP present award to researcher from Jena and researcher from Poznań / Award ceremony to take place in Warsaw in June ...
ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...
Robotic surfaces consisting of many actuators can change shape to perform tasks, such as object transportation and sorting. Increasing the number of actuators can enhance the robot’s capacity, but ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Reinforcement learning has exhibited notable empirical success in approximating solutions to the Hamilton-Jacobi-Bellman (HJB) equation, consequently generating highly dynamic controllers. However, ...
Abstract: Function approximation has experienced significant success in the field of reinforcement learning (RL). Despite a handful of progress on developing theory for nonstationary RL with function ...
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