Intelligent Control Theory Algorithms Implementation
Implementation of intelligent control theory algorithms featuring hierarchical clustering, Hopfield network, and genetic algorithm optimization with three source code files
Intelligent Neural Network Control Modeling for Robotic Arms
Neural network intelligent control modeling for robotic arms with Simulink simulation and source code implementation
Intelligent Control Course Major Project: Fuzzy Controller Design with MATLAB Implementation
This major project for my Intelligent Control course required designing a compliant fuzzy controller, accompanied by complete MATLAB programs and simulation diagrams demonstrating system performance under various conditions.
Intelligent Control Assignment: Fuzzy PID Control Algorithm Implementation in Simulink
This collection of intelligent control assignments focuses on fuzzy PID control algorithms, featuring both fuzzy logic implementations and simulation block diagrams developed using Simulink. The implementations demonstrate practical approaches to designing fuzzy controllers and integrating them with PID control structures. These beginner-friendly examples provide hands-on experience with key concepts like membership functions, fuzzy rule bases, and defuzzification methods while showcasing Simulink's control system modeling capabilities.
Intelligent Control Implementation with MATLAB Code
Implementation of various intelligent control strategies including PID, expert-tuned PID, and fuzzy control systems with algorithmic insights.
BP Neural Network PID Parameter Self-Tuning
Self-Tuning of PID Parameters using BP Neural Networks
Neural Network Controller for Unified Power Quality Conditioner (UPQC): Adaptive Control Implementation and Performance Analysis
Implementation of Neural Network Controllers in UPQC Systems with Code-Level Algorithm Explanations for Power Quality Enhancement
Building a PID Controller Model Using BP Neural Network
Implementing a PID Controller Architecture with Backpropagation Neural Network