PID Neural Network Decoupling Control Algorithm

Based on the principles of PID neural network controllers, this MATLAB implementation controls multi-variable coupled systems using a PID neural network architecture. The complete controller consists of three single neuron controllers, and for comprehensive demonstration, we provide the code for each individual neuron controller. Below is the implementation for the first single neuron controller: % Code for Single Neuron Controller 1 function output = neuron1(input) % Neuron computation process % Implements proportional, integral, and derivative calculations % through weighted inputs and activation functions % The neuron processes input signals and generates control outputs % using PID-specific weighting factors output = ...; end The second and third single neuron controllers follow similar implementation structures with adjustments to their respective input handling and weight parameters. Reference the above code template for implementing the remaining controllers, ensuring proper integration of all three neurons into the complete decoupling control system. Each neuron typically handles different system variables while maintaining coordinated control through the network architecture.