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- W2369872005 abstract "In order to overcome the defaults of traditional algebra-based methods such as high gain,repetitive computation and bad real time capability,this paper used the back-propagation neural network to design a neural network state observer for a linear and constant system based on the observer of control system,and carried out the simulation on a specific system.The simulation result proves the rationality and feasibility of the designed state observer based on the neural network." @default.
- W2369872005 created "2016-06-24" @default.
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- W2369872005 date "2008-01-01" @default.
- W2369872005 modified "2023-09-24" @default.
- W2369872005 title "Design of State Observer Based on a Neural Network" @default.
- W2369872005 hasPublicationYear "2008" @default.
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