MATLAB Modeling of Wavelet Neural Network Control for Robotic Arms
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Detailed Documentation
This project presents MATLAB modeling of wavelet neural network control for robotic arms, utilizing Simulink for simulation and providing comprehensive source code. The model achieves advanced control and enhanced precision by applying wavelet neural networks to robotic arm control systems. During MATLAB implementation, we leveraged Simulink tools to simulate robotic arm kinematics and feedback control mechanisms. The accompanying source code allows for algorithm adjustment and optimization through parameter tuning and network structure modification, enabling improved performance in trajectory tracking and stability control. This implementation provides researchers and engineers with a robust foundation for studying and applying intelligent control strategies to robotic manipulators, featuring modular design for easy integration of different control algorithms and real-time performance evaluation capabilities.
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