Uncertain parameter estimation on Grey-Box Dynamic Systems
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Updated
Apr 2, 2022 - MATLAB
Uncertain parameter estimation on Grey-Box Dynamic Systems
Projects for Systems Modeling & Simulation Course / Aristotle University of Thessaloniki / Summer Semester 2021
Data for the Quantitative Single-Neuron Modeling Competition (2007).
This repository contains a collection of assignments completed for the System Identification and Parameter Estimation (TIP7044) course at the Federal University of Ceará during my Master's degree.
Matlab code for replicate time series regression
Mathematical modelling of microglial cells for the neuroscience community
Code repository for "Design Centering enables robust stochastic parameter inference"
Preliminary investigation of machine learning techniques to perform parameters estimation for cube type crystal structure.
Repo for some modelling and simulation work relating to my thesis
Inertial parameter estimation using discrete variational motion equations
Implementation of maximum likelihood parameter estimator for linear state space systems.
Assignment Submission for the System Identification of Aerospace Vehicle (AE4320) course. Two Step Approach to Identify Aerodynamic Model - State Estimation and Parameter Estimation
Thuật toán truy hồi cho ước lượng tham số trong mô hình hồi quy tuyến tính.
Profile Likelihood Analysis in Matlab
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.
GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga
MATLAB-Simulink code for paper: EKF-Based Parameter Identification of Multi-Rotor Unmanned Aerial VehiclesModels
Parameter estimation and MRAC algorithms implemantaion
Stochastic System Identification Toolkit (SSIT) to model, analyze and design single-cell experiments
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