滞后不确定系统的无辨识自适应智能控制方法

针对带有大纯滞后、不确定性的工业过崔，提出一种无需辨识的自适应智能控制方法。该方法不需要对过程建立数学模型，只要检测过程的实际输出和期望输出，通过模糊预测控制来自正单神经元自适应PSD控制律，即可以对滞后不确定、建模困难的工业过程实现自适应控制。仿真结果表明用该方法控制滞后不确定系统具有简单、实用、鲁棒性强的特点．

An Identification-free Adaptive Intelligent Control For Uncertain Systems With Time-delay

An identification-free method for, adaptive intelligent control is proposed for the control of industry process with large time - delay and uncertain influence. The control method doesn' t need to identify the mathematical model of the processes, only requires inspecting practical output and expectation output of the processes on - line. While the single-neuron PSD self-adaptive control rule is adjusted with fuzzy predictive control, the adaptive control of the processes with time - delay and uncertainty is achieved. The simulation results show the method is a simple, applicable with strong robustness method for the system with time - delay and uncertainty.