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作者:

Zhao, D. (Zhao, D..) | Zhang, J. (Zhang, J..) | Qu, Y. (Qu, Y..) | Ao, D. (Ao, D..) | Zhao, Y. (Zhao, Y..) (学者:赵艳)

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摘要:

This paper mainly presents the self-tuning PID controller based on improved BP neural network for a networked control system (NCS) with the presence of network transmission time-delay and power compensation at amplifiers' node firstly. In this study, the function of the standard control plane of the automatically switched optical network is enhanced to perceive transmission impairments and control tunable physical impairment compensators in the physical layer. A link level power control model is introduced to the dynamic adjustment for learning rate and adjusts the OSNR value of the signals toward channel OSNR optimization. Control algorithms continuously update their channel powers in response to dynamic information from the network links. And the controller could achieve the on-line adaptive power compensation without changing the parameters of PID controller. The results of simulation show that the proposed new PID controller is better to adjust channel power independently at the transmitter sites and achieve channel optical signal-to-noise ratio (OSNR) optimization with network time-delays.

关键词:

BP neural network optical links OSNR PID control power impairment time-delay

作者机构:

  • [ 1 ] [Zhao, D.]Beijing Univ Posts & Telecommun, Minist Educ, Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
  • [ 2 ] [Zhang, J.]Beijing Univ Posts & Telecommun, Minist Educ, Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
  • [ 3 ] [Qu, Y.]Beijing Univ Posts & Telecommun, Minist Educ, Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
  • [ 4 ] [Zhao, Y.]Beijing Univ Posts & Telecommun, Minist Educ, Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
  • [ 5 ] [Ao, D.]Beijing Univ Technol, Dept Elect Informat & Control Engn, Beijing, Peoples R China

通讯作者信息:

  • [Zhao, D.]Beijing Univ Posts & Telecommun, Minist Educ, Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China

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来源 :

JOURNAL OF OPTOELECTRONICS AND ADVANCED MATERIALS

ISSN: 1454-4164

年份: 2011

期: 2-4

卷: 13

页码: 200-205

0 . 5 0 0

JCR@2022

ESI学科: MATERIALS SCIENCE;

ESI高被引阀值:290

JCR分区:4

中科院分区:4

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