Abstract: This study develops a quantized control framework for nonlinear systems with state delays, external disturbances, and bounded parametric uncertainties. First, a static logarithmic quantizer ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Condensed Matter Physics Department, School of Physics and Astronomy, Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 6997801, Israel Center for Light-Matter Interaction, Tel Aviv University, ...

Trajectory tracking control is a core link to ensure the normal operation of robots. However, traditional trajectory tracking control methods have problems such as low operational efficiency and low ...

The goal of this repository is to implement the path tracking algorithm of mobile robot using the Nonlinear Model Predictive Control(NMPC), one of the optimal controllers. The NMPC can provide the ...

Dominic Riccoboni's Mechanical Engineering Master's Thesis at California Polytechnic State University, San Luis Obispo. Follows the creation of a nonlinear dynamic model of a motor actuated ball and ...

Modern diabetes management relies on continuous glucose monitoring and automated insulin delivery. Yet, predicting how device design shapes performance remains a ...

Group of Intensification, Modeling, Simulation, Control, and Optimization of Processes (GIMSCOP). Chemical Engineering Department, Federal University of Rio Grande do Sul (UFRGS), R. Eng. Luiz Englert ...