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- W2361681004 abstract "A neural network based method for compensating dynamic inversion error is introduced in this paper and is applied in the control of a supermaneuvering aircraft. The base control law is designed using the nonlinear dynamic inversion, and single hidden layer (SHL) neural networks are used to cancel the inversion error induced by the inaccuracy of the system model. Simulation results show that through adaptively canceling the inversion error by neural networks, the limitation of needing accurate mathematical model in the dynamic inversion method can be released. Besides this, the design of dynamic inversion control law can be greatly simplified by utilizing the online neural networks and the control effects are improved." @default.
- W2361681004 created "2016-06-24" @default.
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- W2361681004 date "2003-01-01" @default.
- W2361681004 modified "2023-10-17" @default.
- W2361681004 title "An Adaptive Neural Network in Compensating the Modeling Error in Dynamic Inversion Control" @default.
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