Simulation Study of Fuzzy Adaptive PID Controller

MATLAB-based simulation study of fuzzy adaptive PID controller addressing limitations of traditional PID controllers in automatic parameter adjustment when system dynamics change. This approach combines fuzzy logic with PID control to enable online self-tuning of PID parameters using fuzzy inference methods, resulting in improved controller adaptability. The MATLAB simulation demonstrates enhanced dynamic performance of the system through implementation of membership functions, rule bases, and defuzzification techniques.

Retinex Image Enhancement Algorithm SSR

The Retinex algorithm enables adaptive enhancement for various image types, offering superior adaptability compared to traditional single-method enhancement approaches. While conventional algorithms typically enhance only specific image features, Retinex achieves optimal balance in dynamic range compression, detail enhancement, and color correction through its multi-scale processing approach using Gaussian surround functions. Primarily applied in underwater image restoration, the algorithm's core implementation involves separating illumination and reflectance components through logarithmic operations and spatial filtering.

MATLAB Implementation of Adaptive PID Control Algorithm

An enhanced PID control algorithm with adaptive capabilities, improving upon traditional PID control methods through dynamic parameter adjustment and system responsiveness optimization.