Explore MATLAB source code curated for "方法" with clean implementations, documentation, and examples.
The fourth-order Adams explicit formula offers an efficient numerical method for solving initial value problems in ordinary differential equations, with implementation involving multi-step iteration and predictor-corrector algorithms.
This book systematically presents the fundamental theories, methodologies, and application techniques of sliding mode variable structure control from a MATLAB simulation perspective. It synthesizes the author's years of teaching and research experience in control systems while incorporating recent advancements from both domestic and international peers. The 10-chapter coverage includes sliding mode control development overview, continuous/discrete-time system implementations, fuzzy/neural network integrations, backstepping-based design, dynamic sliding mode control, disturbance estimation techniques, Terminal sliding mode control, and several novel approaches - all validated through MATLAB simulation code implementations with detailed algorithmic explanations.
A kernel density estimation approach focusing on bandwidth selection methods for estimating 2D scale parameters. While higher-dimensional estimation methods are still under development, a practical approach for multidimensional cases involves repeated experiments to obtain optimal values through empirical testing.
This article provides a comprehensive MATLAB implementation of projection methods with concrete examples, including detailed code descriptions and algorithmic explanations for data dimensionality reduction.
The extraction methods for Gray-Level Co-occurrence Matrix (GLCM) and Gray-Level Gradient Co-occurrence Matrix (GLGCM) represent significant texture feature extraction techniques implemented using MATLAB, with detailed code structure and algorithmic explanations.
A comprehensive program for studying multi-sensor fusion in clutter environments, implementing key algorithms and signal processing techniques to enhance understanding of data fusion methodologies.
This example employs optimal control methodology using quadratic performance indices to achieve optimal values for both the sliding distance of the cart and the energy consumption throughout the process. The program includes MATLAB files: initial.m (initialization), yjlqgctr.m (controller design), cartoon.m (visualization), and Simulink model simlqgyj.slk (simulation).
This toolkit provides comprehensive methods for inverse problem computation, including regularization parameter selection and regularized solution techniques. It implements efficient algorithms for stable numerical solutions and offers robust error control mechanisms.
Comprehensive MATLAB implementation of Kriging interpolation method: Includes detailed documentation, theoretical background, code comments, and practical examples for spatial data analysis and prediction applications
A straightforward implementation approach for grey prediction, where 'data' is the required input one-dimensional array and 'N' represents the number of values to be predicted, including key algorithm steps and parameter descriptions