Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

Automata on arbitrary networks, with Python

Parallel Data Assimilation Framework

Non-Linear Dynamic Systems

Obtaining the best coefficients of Inverse Dynamics Controller, for a dynamical system, with Optimization Algorithms.

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

This repository includes different versions of the prescribed-time controller as Simulink blocks and MATLAB script codes for engineering applications.

Computing Irreversible Evolutions

Model-based Calibration of Multiple Injections for a CI engine

ForSolver - linear and nonlinear solvers

This repository includes some examples for the suboptimal active disturbance rejection controller (S-ADRC). The files are written in MATLAB and Simulink.

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.

C++11 implementation of numerical algorithms described in Numerical Analysis by Richard L. Burden and J. Douglas Faires

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.

MATLAB toolbox for analysing controllability and accessibility of nonlinear systems.

Repository for my Nonlinear Dynamics files

A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives

In this repository, some numerical algorithms for solving the nonlinear optimal control problem are included written in MATLAB/Simulink.