IEEE

Modern Control and Optimization Theory–Based Parameter Estimation Algorithms

This chapter introduces several popular modern control theory and optimization theory–based algorithms for parameter estimation, which can be classified as adaptive algorithm‐based, gradient‐based, ...
Frontiers

Bayesian estimation of orientation and direction tuning captures parameter uncertainty

1 Department of Biochemistry, Brandeis University, Waltham, MA, United States 2 Department of Biology, Brandeis University, Waltham, MA, United States This study explores the efficacy of Bayesian ...
IEEE

Parameter Estimation for Three-Phase Induction Motor Based on Performance Curves and Differential Evolution

Abstract: The estimation of electrical parameters in three-phase induction motors is necessary for tasks such as performance analysis, control design, and predictive maintenance. Nonetheless, ...
Frontiers

An Adaptive Design for Item Parameter Online Estimation and Q-Matrix Online Calibration in CD-CAT

1 School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China 2 School of Education, Jiangxi Normal University, Nanchang, China The implementation of cognitive ...
Electronic Design

MathWorks announces release 2015b of MATLAB and Simulink

Natick, MA. MathWorks has introduced Release 2015b (R2015b) with a range of new capabilities in MATLAB and Simulink. In addition to new features in MATLAB and Simulink, R2015b includes updates and bug ...