Indexed by:
Abstract:
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.
Keyword:
Reprint Author's Address:
Email:
Source :
JOURNAL OF OPTOELECTRONICS AND ADVANCED MATERIALS
ISSN: 1454-4164
Year: 2011
Issue: 2-4
Volume: 13
Page: 200-205
0 . 5 0 0
JCR@2022
ESI Discipline: MATERIALS SCIENCE;
JCR Journal Grade:4
CAS Journal Grade:4
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 5