Shafiqul Islam

TL;DR: In this paper, the authors proposed multiple parameter models based adaptive switching control system for robot manipulators, which reduced the observer-controller gains by reducing modeling errors and uncertainties via identifying an appropriate control/model via choosing largest guaranteed decrease in the value of the Lyapunov function energy function.

TL;DR: This work develops delay dependent load frequency control scheme for multi-area smart power grid over open communication networks with the presence of uncertainty and unsymmetrical time varying delays and introduces Lyapunov based indirect method to establish stability criterion for LFC systems.

TL;DR: In this paper, the authors investigated the interactions of the energy and moisture transfer processes at the land surface using factorial experimentation on a simple non-vegetated model and found that the response time is correlated with and a strong function of the moisture response time.

TL;DR: A novel missing data estimation method has been proposed for a single data point, multiple data points, and entire day CGM data imputation to predict futuristic HbA1c levels 2–3 months in advance by using blood glucose data collected through continuous glucose monitoring (CGM) sensors and leveraging advanced feature extraction and machine learning techniques.