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时滞系统的经典控制与智能控制
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2009-06-18
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研究了两类用于时滞系统控制的方法，即包括自整定PID 控制、Smith 预估控制和大林算法在内的经典控制方法和包括模糊控制、神经网络控制和模糊神经网络控制在内的智能控制方法，经过比较后认为经典控制结构简单、可靠性及实用性强，而智能控制则具有自适应性和鲁棒性好，抗干扰能力强的优势，因而将这两种控制方法结合起来是控制时滞系统有效实用的方法，具有很好的应用前景。
关键词：时滞系统，Smith 预估控制，模糊神经网络
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
关键词：时滞系统，Smith 预估控制，模糊神经网络
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
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