Fire Detection Program Based on Flame Dynamic Features and Motion Detection
Advanced fire detection system utilizing flame visual characteristics and motion trajectory analysis
Professional MATLAB source code with comprehensive documentation and examples
Advanced fire detection system utilizing flame visual characteristics and motion trajectory analysis
ARMA model time series analysis method, commonly referred to as time series analysis, is a modal parameter identification technique that processes ordered random vibration response data using parametric models. Parametric models include AR (Autoregre
Program implementation for power flow calculation using Newton-Raphson iteration method, featuring both power flow computation and data processing capabilities including data input/output handling and result visualization.
MATLAB source code implementing antithetic sampling Monte Carlo method for distribution system reliability analysis
The Finite Difference Method (FDM) is a numerical technique for approximating solutions to differential equations and integro-differential equations. The core concept involves discretizing a continuous domain into a grid of finite discrete points (no
Comprehensive nonlinear vibration toolbox featuring detailed procedural guides, spectral analysis, Poincaré sections, bifurcation diagrams, and Lyapunov exponent calculations with algorithm explanations and MATLAB implementation approaches.
MATLAB source code for adaptive fuzzy sliding mode controller design, featuring comprehensive implementation details including sliding surface definition, adaptive law integration, and fuzzy logic rule base - highly valuable for researchers studying
Learn the computational steps of various search algorithms (Steepest Descent, Conjugate Gradient, Newton's, and Quasi-Newton Methods) and compare their advantages and disadvantages with code implementation insights.
This MATLAB program computes the maximum Lyapunov exponent from time series data using the small data quantities method with trajectory-based distance calculations.
This resource covers the core principles and applications of Monte Carlo methods, featuring numerous MATLAB implementation examples with detailed algorithm explanations. It serves as comprehensive learning material for understanding both theoretical
MATLAB fire detection code implementation. MATLAB/Simulink is a widely utilized tool for DSP system simulation and design, particularly for control algorithm testing and verification.
A kinematic simulation for a 6-degree-of-freedom robotic arm, featuring forward and inverse kinematics solutions with code implementation details
A highly representative example for solving systems of stochastic differential equations with significant reference value, demonstrating practical implementation approaches and numerical methods.
Energy storage simulation utilizing a bidirectional DC-DC converter capable of constant voltage charging and constant current discharging, designed for easy modification and learning with flexible parameter adjustments and algorithm implementation.
Simulation of microgrid photovoltaic grid-connection using MATLAB software, focusing on grid-connected operation modes and implementing seamless transitions between grid-connected and islanded states
MATLAB simulation of dual closed-loop speed regulation system for DC motors, including executable code, comprehensive Word documentation, and performance visualization graphs
Advanced dynamic modeling and simulation of the LM2500 gas turbine, featuring robust computational methodologies and detailed performance analysis capabilities
This comprehensive package includes quadrotor dynamic modeling programs, sliding mode control algorithms implementation, Simulink block diagrams, and plotting scripts for performance analysis - ideal for learning advanced UAV control techniques.
MATLAB-based directional pattern simulation tool for linear arrays, planar arrays, and circular arrays with comprehensive parameter configuration and visualization capabilities
Implement numerical solution for 2D wave equation with Finite Difference Method, including grid discretization, derivative approximation, and time-stepping algorithm