研究了兩類用于時滯系統控制的方法，即包括自整定PID 控制、Smith 預估控制和大林算法在內的經典控制方法和包括模糊控制、神經網絡控制和模糊神經網絡控制在內的智能控制方法，經過比較后認為經典控制結構簡單、可靠性及實用性強，而智能控制則具有自適應性和魯棒性好，抗干擾能力強的優勢，因而將這兩種控制方法結合起來是控制時滯系統有效實用的方法，具有很好的應用前景。
關鍵詞：時滯系統，Smith 預估控制，模糊神經網絡
Abstract: Two kinds of control methods are mainly researched. One is classical control method, including self-tuning PID control, Smith predictive control and Dahlin algorithm. The other is intelligent control method, including fuzzy control, neural network control and fuzzy neural network control. After comparing, such conclusions are made: Classical control has simple structure, good reliability and practicability. But intelligent control has strong adaptability and robustness, moreover, its performance against disturbance is good. So the combination with these two methods will be effective and significant to control time delay system, and its prospect of application is attractive.
Key words: Time delay system, Smith predictive control, Fuzzy neural network