BP Neural Network for Nonlinear System Modeling - Nonlinear Function Fitting
BP Neural Network for Nonlinear System Modeling - Nonlinear Function Fitting - A Classic Approach with Implementation Details
Materials on Linearization of Nonlinear Systems
Essential materials on nonlinear system linearization, highly beneficial for studying nonlinear dynamics and control systems with practical implementation insights.
MATLAB Implementation of Extended Kalman Filter (EKF) with Code Examples
MATLAB implementation of Extended Kalman Filter (EKF) algorithm for nonlinear state estimation and target tracking applications, featuring code structure and key function explanations
Chaotic Time Series Prediction
Chaotic Time Series Prediction: Methods and Implementation Approaches
MATLAB Implementation of Duffing Bifurcation Diagram with Dynamics Analysis
MATLAB code implementation for generating Duffing bifurcation diagrams and calculating Lyapunov exponents with numerical integration techniques
Nonlinear Systems C-C Algorithm: An Essential Tool for Chaotic Time Series Analysis
The C-C algorithm for nonlinear systems is a pivotal methodology for analyzing chaotic time series, particularly in the study of nonlinear dynamical systems, implementing key calculations for correlation dimension and time delay estimation.
Extended Kalman Filter for Target Tracking
Extended Kalman Filter for Target Tracking with Implementation Approaches
MATLAB Source Code for CMAC Neural Network-Based Robotic Arm Control Design
Design and implementation of CMAC neural network control for robotic arms with MATLAB source code, featuring local approximation principles and hybrid control architectures.
Extended Kalman Filter (EKF) Experimental Report
Extended Kalman Filter (EKF) Experimental Report with Code Implementation Details
MATLAB Implementation of Extended Kalman Filter (EKF) Code
MATLAB code implementation for Extended Kalman Filter (EKF) algorithm with detailed explanations of key functions and implementation workflow