Neural Network Control Toolbox
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Resource Overview
Neural Network Control Toolbox featuring optimal control, feedback linearization control, predictive control, and feedforward control implementations. Includes detailed documentation in readme.txt with MATLAB code examples and algorithm explanations.
Detailed Documentation
We provide a comprehensive Neural Network Control Toolbox that implements various advanced control methodologies. The toolbox contains MATLAB implementations for optimal control strategies using gradient-based optimization algorithms, feedback linearization techniques for nonlinear system control, predictive control with rolling horizon optimization, and feedforward compensation mechanisms. All control algorithms leverage neural networks for function approximation and system modeling. The readme.txt documentation file provides detailed usage guidelines, code structure explanations, and practical implementation examples for each control method, including parameter configuration and simulation setup procedures.
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