ODESCA is a MATLAB tool for the creation and analysis of dynamic systems described by ordinary differential equations
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Updated
Sep 20, 2019 - MATLAB
ODESCA is a MATLAB tool for the creation and analysis of dynamic systems described by ordinary differential equations
Evaluation of an analytical Volterra series solution to the Burgers equation
This repository contains numerical methods for finding solutions of a nonlinear equation, as well as nonlinear and linear equations' systems.
identPy GUI application, a software for parameter estimation of nonlinear dynamic systems.
Application of robot control tools
Non-Linear Dynamic Systems
This project is about implementing the classic sliding mode method for controlling a third degree nonlinear system stated in the report that has 3 uncertain parameters. The first chapter is about designing the sliding mode controller and its parameters. And finally, the second chapter is devoted to simulation and its results. The results show th…
This project is about implementing the dynamic sliding mode method for controlling a second degree nonlinear system stated in the report that has one uncertain parameter. The first chapter is about designing the sliding mode controller and its parameters for both dynamic and classic SMC. And finally, the second chapter is devoted to simulation a…
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.
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…
This repository includes different versions of the prescribed-time controller as Simulink blocks and MATLAB script codes for engineering applications.
In this repository, some numerical algorithms for solving the nonlinear optimal control problem are included written in MATLAB/Simulink.
Nonlinear equations (Bisection and Secant methods), Nonlinear system (Fixed-point iteration)
RK4 simulation of damped and driven simple pendulum to investigate chaotic behaviour of nonlinear systems.
This repository includes some examples for the suboptimal active disturbance rejection controller (S-ADRC). The files are written in MATLAB and Simulink.
By using nonlinear systems and R, algorithm that generate fractals in R
C++11 implementation of numerical algorithms described in Numerical Analysis by Richard L. Burden and J. Douglas Faires
Obtaining the best coefficients of Inverse Dynamics Controller, for a dynamical system, with Optimization Algorithms.
Solving nonlinear coordinate-wise monotonic systems of algebraic equations
Multiphysics modeling of nonlinear contact with Hexagon software
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