Simulation on neuron adaptive control of object with time delay

According to the characteristics that object with time delay possesses large inertia, large time delay and uncertainty, neuron controller is presented in this paper. Simulations proof that neuron control method possess excellent performance and robustness of controller compared with ITAE-PID control method. Neuron controller has strong adaptation and it is easy to adjust parameters of neuron controller. Furthermore, there is no complex computation in neuron control method. Its excellent real-time performance makes it easy in engineering application. It can be reality in embedded microcontroller. Under the prediction of no demand for rapidity, neuron controller is an ideal control method.