Dual-Input Dual-Output PID Neural Network Simulation Program

This paper presents a dual-input dual-output PID neural network simulation program developed using MATLAB. The implementation utilizes MATLAB's Neural Network Toolbox to simulate control systems with two input variables and two output variables. The program demonstrates how PID neural networks can be applied in control systems through simulation, showcasing their operational principles. Users can gain insights into the advantages and limitations of PID neural networks and modify/optimize the code according to their specific requirements. The implementation includes comprehensive code comments and explanations to help users understand the functionality and implementation methodology of each component. Key features include neural network architecture configuration, PID controller integration, and training algorithms for multi-variable systems. For those interested in PID neural network simulation, this program serves as an excellent learning tool and reference material, providing practical code examples for implementing adaptive control systems with neural networks.