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Extensive Noise Control Model for Plastic & Rubber Sulfuration and Simulation
引用本文:CHEN Kang-lu,CHEN Xiao-an,HE Ye. Extensive Noise Control Model for Plastic & Rubber Sulfuration and Simulation[J]. 保鲜与加工, 2006, 0(2): 28-31
作者姓名:CHEN Kang-lu  CHEN Xiao-an  HE Ye
作者单位:State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China
摘    要:For the problem of precision and real time control in the process of sulfuration,a new control model is put forward.All the noise existing in the sulfuration process are unified as one kind noise named as extensive noise,and the control system is self-adaptive in the process.The purpose of this strategy is to solve the problem preferred.The model comprises of two parts: one is Neutral Networks which deals with the advance sort,the other is dynamic self-adaptive system which is used to find the system's factors.The simulation result of dynamic self-adaptive system shows that this extensive noise controlled model is valid in the process.

关 键 词:extensive noise   dynamic self-adaptive system   self-adaptive   neutral networks
收稿时间:2005-09-06
修稿时间:2005-09-06

Extensive Noise Control Model for Plastic & Rubber Sulfuration and Simulation
CHEN Kang-lu,CHEN Xiao-an,HE Ye. Extensive Noise Control Model for Plastic & Rubber Sulfuration and Simulation[J]. Storage & Process, 2006, 0(2): 28-31
Authors:CHEN Kang-lu  CHEN Xiao-an  HE Ye
Affiliation:State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China
Abstract:For the problem of precision and real time control in the process of sulfuration,a new control model is put forward.All the noise existing in the sulfuration process are unified as one kind noise named as extensive noise,and the control system is self-adaptive in the process.The purpose of this strategy is to solve the problem preferred.The model comprises of two parts: one is Neutral Networks which deals with the advance sort,the other is dynamic self-adaptive system which is used to find the system's factors.The simulation result of dynamic self-adaptive system shows that this extensive noise controlled model is valid in the process.
Keywords:extensive noise   dynamic self-adaptive system   self-adaptive   neutral networks
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