In MATLAB, a Sliding Mode based Perturb and Observe (P&O) algorithm combined with a Neural Network Maximum Power Point Tracking (MPPT) method can be implemented for photovoltaic systems. The Sliding Mode control technique helps enhance the robustness of the P&O algorithm against parameter variations and environmental changes, ensuring accurate tracking of the maximum power point under varying conditions. Meanwhile, the Neural Network MPPT utilizes the learning capabilities of neural networks to adaptively adjust the control parameters based on real-time data, improving the accuracy and efficiency of the MPPT process. By integrating these techniques within MATLAB, it becomes possible to develop a sophisticated MPPT system that enhances the energy extraction efficiency of photovoltaic panels across diverse operating conditions.