DocumentCode
2045078
Title
Robust adaptive controller for nonlinear systems
Author
Song, Q.
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Volume
4
fYear
1993
fDate
19-21 Oct. 1993
Firstpage
436
Abstract
The basic concept of the design of a dynamic neural controller is discussed with emphasis on the control problem. A general neural network is used to design the controller motivated by the robust linear controller design method. The method unifies the nonlinear components in the controller and the plant. This scheme simplifies the structure of the dynamic neural controller and modeling. Simulation results demonstrate the effectiveness of the new method.<>
Keywords
adaptive control; feedforward neural nets; neurocontrollers; nonlinear control systems; robust control; dynamic neural controller; general neural network; nonlinear systems; robust adaptive controller; robust linear controller design method; Adaptive control; Control systems; Feeds; Neural networks; Neurons; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Programmable control; Robust control;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location
Beijing, China
Print_ISBN
0-7803-1233-3
Type
conf
DOI
10.1109/TENCON.1993.320524
Filename
320524
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