What is the best way to build a model of automated system with neural network in Simulink (Matlab)?
问题 I'm tring to build a model contating neural network in Simulink. My idea is to compose a model which includes a controlled object (electrical drive), PID controller and NN block for fine-tuning of the PID controller. NN training is provided for to be the reinforcement learning. NN calculates the koefficients of the PID controller, then it receives the feedback from the output of the object and calcucales the koefficients for the next cycle to minimize the static error. I've build the model