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- W2367390732 abstract "A new system is put forward for general common neural network sliding mode control system having long training time online and bad real time quality.It is mainly composed of second order Adaline network identifier,sliding mode controller and variable structure second order learning algorithm estimator.And second order Adaline network is the improvement of original network and is equioalent to approximate nonlinear system using time-varying quadratic polynomial.Because the second-order items of related samples are augmented in the vector of input samples,it has quick training velocity as the advantage of original Adaline network and definite nonlinear approximation ability.Sliding mode controller adaptively adjusts gain parameter of approach law according to identification error.The above variable structure second order learning algorithm not only simplifies approximation recursive Newton algorithm but also reconstructs it into a new variable structure algorithm,and has relatively quick convergent velocity.For the same nonlinear system,less chattering is occurred and average adjusting error is 0.093 1 when the conventional neural sliding mode variable structure control is used.But high frequency chatting is almost eliminated,the response is quickly seffled and average adjusting error is 0.010 9 when new type neural sliding mode variable structure control is used.The simulation result shows that the scheme is effective." @default.
- W2367390732 created "2016-06-24" @default.
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- W2367390732 date "2007-01-01" @default.
- W2367390732 modified "2023-09-28" @default.
- W2367390732 title "Sliding Mode Variable Structure Controller Based on Second Order Adaline Network" @default.
- W2367390732 hasPublicationYear "2007" @default.
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