DocumentCode
2065188
Title
Dynamic modeling and control of nonlinear systems using neural network
Author
Song, Q.
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
fYear
1993
fDate
24-26 Nov 1993
Firstpage
327
Lastpage
330
Abstract
The basic concept of design of dynamic neural controllers is discussed, emphasizing the control of the nonminimum phase plant. Neural networks are used to design a nonlinear controller combined with a robust linear controller. It unifies the nonlinear components in the controller and the plant together. This scheme simplifies the structure of the dynamic neural controller and modeling. Simulation results demonstrate the effectiveness of the new method
Keywords
control system analysis; control system synthesis; feedforward neural nets; intelligent control; nonlinear control systems; dynamic backpropagation; dynamic feedback controller; neural controllers; neural network; nonlinear controller; nonlinear systems; Control system synthesis; Cost function; Feedforward neural networks; Multi-layer neural network; Neural networks; Neurons; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Robust control;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
Conference_Location
Dunedin
Print_ISBN
0-8186-4260-2
Type
conf
DOI
10.1109/ANNES.1993.323011
Filename
323011
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