Topic: nonlinear-systems Goto Github
Some thing interesting about nonlinear-systems
Some thing interesting about nonlinear-systems
nonlinear-systems,In this repository, some numerical algorithms for solving the nonlinear optimal control problem are included written in MATLAB/Simulink.
User: a-shakouri
nonlinear-systems,This repository includes different versions of the prescribed-time controller as Simulink blocks and MATLAB script codes for engineering applications.
User: a-shakouri
nonlinear-systems,This repository includes some examples for the suboptimal active disturbance rejection controller (S-ADRC). The files are written in MATLAB and Simulink.
User: a-shakouri
nonlinear-systems,MATLAB toolbox for analysing controllability and accessibility of nonlinear systems.
User: afvillaverde
nonlinear-systems,ELEVEN is a Matlab code for robust optimization and uncertainty quantification of an elevator brake system.
User: americocunhajr
Home Page: https://americocunhajr.github.io/ELEVEN
nonlinear-systems,Grid-based Bayesian Estimation Exploiting Sparsity (GBEES) is a non-Gaussian recursive Bayesian filtering method for propagating non-Gaussian uncertainty subject to nonlinear dynamics and measurement models.
User: bhanson10
nonlinear-systems,Polynomial observers: a Savitzky-Golay filter for estimating the derivatives of an output signal, then using it to estimate the state of a nonlinear dynamical system.
User: buntonj
nonlinear-systems,Complex Systems Analysis for ImageJ
User: comsystan
Home Page: https://comsystan.github.io/comsystanj/
nonlinear-systems,ForSolver - linear and nonlinear solvers
User: gha3mi
Home Page: https://gha3mi.github.io/forsolver/
nonlinear-systems,Model-based Calibration of Multiple Injections for a CI engine
User: giomoretto
nonlinear-systems,Framework for parameter estimation of dynamic nonlinear models.
User: gnegrelli
nonlinear-systems,identPy GUI application, a software for parameter estimation of nonlinear dynamic systems.
User: gnegrelli
nonlinear-systems,A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
User: hyeonbeenlee
Home Page: https://www.sciencedirect.com/science/article/abs/pii/S0021999123006733
nonlinear-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 that tracking was done perfectly but with the cost of creating the chattering phenomenon and a big overshoot in the initial moments for the control and error vectors.
User: kiankhaneghahi
nonlinear-systems,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 and its results and comparing DSMC with CSMC. The results show that the dynamic SMC has less chattering in the control input at the cost of increasing the steady-state error.
User: kiankhaneghahi
nonlinear-systems,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 neural network is based on the back-propagation method with a small modification. In addition, in order to guarantee the robustness of the observer, an e-modification term is added. Also, it is noted that there are no hard constraints like SPR on this method. Subsequently, the stability of this neural network observer is guaranteed by Lyapunov's direct method. At the end, the simulation results for a flexible-joint manipulator with this observer is demonstrated.
User: kiankhaneghahi
nonlinear-systems,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.
User: kiankhaneghahi
nonlinear-systems,Nonlinear equations (Bisection and Secant methods), Nonlinear system (Fixed-point iteration)
User: komyak9
nonlinear-systems,A collection of various scientific notebooks ✨
Organization: konstantlabs
nonlinear-systems,Computing Irreversible Evolutions
User: kumiori
nonlinear-systems,Reproducible code for our paper, "On Causal Discovery with Convergent Cross Mapping"
User: kurtbutler
Home Page: https://doi.org/10.1109/TSP.2023.3286529
nonlinear-systems,Automata on arbitrary networks, with Python
User: lantunes
nonlinear-systems,Solving nonlinear coordinate-wise monotonic systems of algebraic equations
User: lapkin25
nonlinear-systems,RK4 simulation of damped and driven simple pendulum to investigate chaotic behaviour of nonlinear systems.
User: laurabarbara
nonlinear-systems,This repository contains numerical methods for finding solutions of a nonlinear equation, as well as nonlinear and linear equations' systems.
User: lucasvianav
nonlinear-systems,By using nonlinear systems and R, algorithm that generate fractals in R
User: mab0205
nonlinear-systems,A Design of Experiment (DoE) / excitation signal design technique for the identification of nonlinear dynamic systems.
User: mherkersdorf
nonlinear-systems,Evaluation of an analytical Volterra series solution to the Burgers equation
User: mschiffn
nonlinear-systems,Obtaining the best coefficients of Inverse Dynamics Controller, for a dynamical system, with Optimization Algorithms.
User: mustafalotfi
nonlinear-systems,Repository for my Nonlinear Dynamics files
User: mxmayerr
nonlinear-systems,ODESCA is a MATLAB tool for the creation and analysis of dynamic systems described by ordinary differential equations
Organization: odesca
nonlinear-systems,Parallel Data Assimilation Framework
Organization: pdaf
Home Page: https://pdaf.awi.de
nonlinear-systems,Multiphysics modeling of nonlinear contact with Hexagon software
User: productguy2
Home Page: https://hexagon.com/products/marc
nonlinear-systems,C++11 implementation of numerical algorithms described in Numerical Analysis by Richard L. Burden and J. Douglas Faires
User: sanketsarmalkar
nonlinear-systems,Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
Organization: sciml
Home Page: https://docs.sciml.ai/NonlinearSolve/stable/
nonlinear-systems,Kalman filtering is a powerful technique for estimating the state of nonlinear mechatronics systems from noisy measurements. Kalman filters have a wide range of applications in robotics, vehicle control, and aircraft control.
User: solonso
nonlinear-systems,Application of robot control tools
User: vanessastad
nonlinear-systems,Non-Linear Dynamic Systems
User: yiqiangjizhang
nonlinear-systems,Quadratization preprocessing for the reachability Problem of ODE
User: yubocai-poly
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