Realistic dishwasher controller simulation

Realistic dishwasher controller simulation comparing PI, Fuzzy, Reinforcement Learning, and ANN methods with 230V/500W load modeling
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Updated 6 Dec 2025

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This MATLAB script simulates a complete real-world dishwasher wash-cycle control system using multiple control strategies: PI, Mamdani Fuzzy Logic, Reinforcement Learning (Q-learning, no toolbox), and ANN behavioral cloning.
The model includes realistic appliance parameters: 230 V AC input, 2 kW heating element, 500 W circulation motor, temperature dynamics, turbidity reduction, and energy consumption.

Cite As

CHANDRA BABU GUTTIKONDA (2026). Realistic dishwasher controller simulation (https://in.mathworks.com/matlabcentral/fileexchange/182749-realistic-dishwasher-controller-simulation), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2025b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0