Automata on arbitrary networks, with Python
Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
Parallel Data Assimilation Framework (this is the release repository, thus expect only updates when we prepare a new release)
Implementation of Some Control Algorithms on a QuadCopter.
Non-Linear Dynamic Systems
This repository includes different versions of the prescribed-time controller as Simulink blocks and MATLAB script codes for engineering applications.
In this project, an observer in the form of a stable neural network is proposed for any nonlinear MIMO system. As a result of experience, this observer utilizes a nonlinear in parameter neural network (NLPNN) which unlike LPNN, supports systems with higher degree of nonlinearity with no pre-knowledge of its dynamics. The learning rule for this n…
ODESCA is a MATLAB tool for the creation and analysis of dynamic systems described by ordinary differential equations
A long-form systems essay arguing that most metrics fail because they measure outcomes instead of accumulated pressure. It reframes collapse as a consequence of debt, buffer depletion, and delayed feedback, and explains why early warning depends on measuring pressure rather than predicting final events.
Obtaining the best coefficients of Inverse Dynamics Controller, for a dynamical system, with Optimization Algorithms.
Computing Irreversible Evolutions
Numerical solver to find the optimal injection inputs for internal combustion engines. Implementation for dSpace hardware (Matlab/Simulink)
ForSolver - linear and nonlinear solvers
Reproducible code for our paper, "On Causal Discovery with Convergent Cross Mapping"
Newton's method for solving systems of nonlinear equations using the Faer library.
This repository includes some examples for the suboptimal active disturbance rejection controller (S-ADRC). The files are written in MATLAB and Simulink.
C++11 implementation of numerical algorithms described in Numerical Analysis by Richard L. Burden and J. Douglas Faires
Neural Lyapunov-function approximation for nonlinear-system stability studies: TensorFlow notebooks, orbital-derivative analysis and MATLAB examples for control-engineering research.
In this project a rather brilliant observer called Thau observer or Lipschitz observer is proposed and designed to estimate the states of a special form of nonlinear systems. All the details regarding the observer design and its simulation are given in "Kian Khaneghahi - Fault Midterm - Q4.pdf" report file.
HVG-SINDy-Autoencoder for Public Attention Dynamics and System Evolution Modeling
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