Explore MATLAB source code curated for "模糊控制" with clean implementations, documentation, and examples.
An M-file implementation for fuzzy control systems, serving as a reference for fuzzy control enthusiasts. The program can be flexibly modified according to specific requirements. Includes discussions on membership functions, rule bases, and defuzzification methods to facilitate collaborative learning and advancement.
Simulation program for water tank level control using fuzzy logic and Sugeno-type fuzzy systems with MATLAB/Simulink implementation
MATLAB-based simulation example demonstrating fuzzy logic control implementation for a single inverted pendulum system, featuring practical code implementation and control algorithm analysis
Implementation of Fuzzy Logic Control for Battery Systems in Microgrid Optimization Scheduling with Algorithm and Code Integration
Implementation of direct torque control using fuzzy logic control, with comparative analysis against traditional PI regulators
AC Fuzzy Control - Implementation and Algorithm Approaches for Alternating Current Systems
Fuzzy Control PID Algorithm, programmable implementation with simulation capabilities and policy adaptability
This MATLAB-based resource provides executable code implementations for multiple advanced control methodologies. Each technique includes practical examples demonstrating controller design, parameter tuning procedures, and performance analysis. The collection covers intelligent control algorithms like fuzzy logic controllers with membership function design, neural network models for system identification and control, grey prediction models for uncertain systems, and rule-based expert systems. Traditional advanced controllers include robust control designs addressing system uncertainties, Smith predictors for dead-time compensation, Dahlin algorithms for digital controller design, along with comprehensive PID variants including position-type, incremental-type, and advanced industrial PID implementations with anti-windup mechanisms and tuning guidelines.
Boiler Steam-Water Level MATLAB Fuzzy Control - Student Graduation Thesis on Fuzzy PID Control Implementation
Developing a fuzzy logic-based PID intelligent controller through MATLAB's Simulink simulation toolbox