Electronics Optics & Control, Volume. 28, Issue 8, 1(2021)
Multi-model Adaptive Control of Nonlinear Systems Based on Improved BP Neural Network
As for a class of nonlinear discrete systems with unknown parametersa multi-model control method based on the improved BP neural network is proposed.Firstlythe nonlinear system is expressed with a linear part and a nonlinear part.When the nonlinear part has small impact on the systemthe linear robust controller designed based on the fixed model and the adaptive model is directly used to control the system.When the nonlinear part has large impact on the systemthe adaptive control under the improved BP neural network is adopted.Secondlythe switching criterion is used to smoothly switch the control input and the stability of the system is proved.Finallysimulation results show that the proposed method can improve the system control quality and reduce the oscillation of the control signal.
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WANG Suzhen, LIU Jianfeng. Multi-model Adaptive Control of Nonlinear Systems Based on Improved BP Neural Network[J]. Electronics Optics & Control, 2021, 28(8): 1
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Received: Jul. 17, 2020
Accepted: --
Published Online: Aug. 16, 2021
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