a modeling environment tailored to parameter estimation in dynamical systems
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Updated
May 14, 2024 - MATLAB
a modeling environment tailored to parameter estimation in dynamical systems
Semi-Automatic Li Ion battery RC model parameters estimator
PESTO: Parameter EStimation TOolbox, Bioinformatics, btx676, 2017.
An information-theoretic pipeline for methylation analysis of WGBS data
Classic problems in chemical engineering solved with matlab
Toolbox for parameter estimation of the Standard Model of diffusion in white matter
传统的2D-MUSIC算法应用于FDA-MIMO雷达参数估计具有计算复杂度大的缺陷,该项目提出了一种RD-MUSIC算法,可以实现在略微牺牲2D-MUSIC算法的距离维估计性能的同时很大程度上降低算法复杂的。
Implementation of a Permanent Magnet Synchronous Motor Control: Field-Oriented Control with Simulink
This consist of a MatLab Function intended to estimate the parameters of a electrical induction motor.
Matlab code and example models for model balancing
Training NN using OT filter
Real time parameter estimation on Grey Box Dynamic Systems
Code for the nested hybrid filters (NHFs), including four different implementations using sequential Monte Carlo (SMC), sequential quasi-Monte Carlo (SQMC), extended Kalman filters (EKFs) and ensemble Kalman filters (EnKFs). I have also included the implementation of the nested particle filter (NPF) and the two-stage filter to compare performance.
a gradient-based optimisation routine for highly parameterised non-linear dynamical models
Codes for ''Machine-learning parameter tracking with partial state observation'', which published in Physical Review Research.
Hybrid control system using LQR and hardware in loop
RCGAToolbox is a MATLAB toolbox for parameter estimation of kinetic models.
Codes for parameter estimation and sensitivity analysis of QSP models for colon cancer. This is a part of the National Cancer Institute funded project titled "Data-driven QSP software for personalized colon cancer treatment" Achyuth Manoj, Susanth Kakarla, Suvra Pal and Souvik Roy.
Parameter estimation Demo by UKF
Code for the nested Gaussian filters (NGFs), in particular, an implementation of an unscented Kalman filter (UKF) combined with a bank of extended Kalman filters (EKFs). Other algorithms are implemented to compare performance.
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