A MATLAB package for modelling multivariate stimulus-response data
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Updated
Apr 9, 2024 - MATLAB
A MATLAB package for modelling multivariate stimulus-response data
Embedded Firmware Control Systems Toolbox (Pure C and GNU Octave)
The usage of MATLAB System Identification Toolbox and PID parameters adjustment
Subspace methods for MIMO system identification
An open-source linear control toolbox for MATLAB.
emgr -- EMpirical GRamian Framework
Hierarchical Bayesian approaches for robust inference in ARX models
Code repo for the paper https://arxiv.org/abs/1809.05021
Implementation of Fast Orthogonal Search (FOS) Algorithm in MATLAB
This repository is for our paper: "The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control." It contains all the CAD files we used to build the pendulum hardware, their corresponding user's manual, and data set we collected from our hardware, which is useful for Machine Learning and AI community.
System identification for Monash UAS aircraft
This project deals with system identification and machine learning of large-scale deformable mirrors used in adaptive optics. I have submitted two papers that deal with this important problem. The approaches can be generalized two other problems of estimating large-scale system with the dynamics described by partial differential equations.
A set of codes in MATLAB for ODE reconstruction using least-square method
Estimation of minimal inertial parameters of a space robot for motion planning and control
Implementation of the algorithm described in the following paper. Korenberg, M., Billings, S.A. and Liu, Y.P. (1987) An Orthogonal Parameter Estimation Algorithm for Nonlinear Stochastic Systems
SON-EM - Algorithm for parameter estimation of hybrid time-varying parameter systems using Sum of Norms regularization and Expectation Maximization
Matlab implementation of online and window dynamic mode decomposition algorithms
Matlab application and Arduino code to establish a bidirectional Serial Communication for Process Control System Data Acquisition
A collection of Matlab routines for illustrating methods for identifying Radial Basis Function (Neural) Network models for NARX-type nonlinear dynamical systems from data, incorporating prior information about the system's fixed points.
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