A Neural-Network-Based Approximation Method for Discrete-Time Nonlinear Servo Mechanism Problem  

Oleh:

Wang, Dan ; Jie Huang

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 12 no. 3 (2001), page 591-597.
Topik: neural network; neural - network - based; approximation; discrete - time; non linear; servo mechnism

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.5 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

A feedback controller that solves the discrete - time nonlinear servomechanism problem relies on the solution of a set of non linear functional equations known as the discrete regulator equations. The exact solution of the discrete regulator equations is usually unavailable due to the nonlinearity of the system. The paper proposes to approximately solve the discrete regulator equations using a feedforward neural network. This approach leads to an effective way to practically solve the discrete nonlinear servomechanism problem. The approach has been illustrated using the well-known inverted pendulum on a cart system. The simulation shows that the control law designed by the proposed approach performs much better than the conventional linear control law.

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