Explore MATLAB source code curated for "离散化" with clean implementations, documentation, and examples.
Employing implicit finite difference method in time domain and backward difference method in spatial domain to discretize coupled wave equations, enabling numerical simulation of stimulated Brillouin scattering energy reflectivity and SBS threshold energy. Implementation involves constructing difference schemes and solving matrix equations through iterative methods.
Rough set attribute reduction and discretization with rule extraction methodology explained
Implementation of adaptive PID control using relay auto-tuning method involves: 1) Discretizing the system with 0.1s sampling time, 2) Applying relay (switch) control to measure system parameters Tc and Kc, 3) Determining PID parameters using Ziegler-Nichols formulae table, 4) Implementing closed-loop control, 5) Adjusting PID parameters based on regulation performance. Code implementation typically involves system identification, relay oscillation analysis, and iterative parameter tuning algorithms.
This example demonstrates continuous signal sampling and discretization in MATLAB/Simulink environment, including FFT spectral analysis implementation with key algorithm explanations
This project presents the design of a digital controller for decoupled vector control system of induction motors. The implementation involves deriving decoupled vector control equations, discretizing them using appropriate sampling methods, and designing digital controllers based on z-domain analysis. The package includes comprehensive Simulink simulation models with detailed subsystem implementations and Word documentation explaining control algorithms and parameter tuning procedures.
Rough set data preprocessing involves transforming raw data for subsequent analysis, primarily focusing on the discretization of continuous attributes to reduce computational complexity while maintaining data integrity.
Initial Rough Set Data Preprocessing with Focus on Continuous Data Discretization Techniques
MATLAB program implementing Runge-Kutta method for solving discrete partial differential equation systems with detailed code structure and implementation considerations
Asynchronous fusion algorithm addressing correlated noise in multi-sensor systems with implementation insights