DocumentCode
2952860
Title
The nonlinear process control with internal model and multilayer neural
Author
Puscasu, Gheorghe
Author_Institution
Dept. of Autom. & Electron., Galati Univ., Romania
Volume
3
fYear
1997
fDate
27-29 Aug 1997
Firstpage
526
Abstract
When the method for the calculation of the command law does not exist, it is advantageous to use control structures which are implemented with neural networks. This paper deals with the following aspects: 1) the internal model control with emphasises on the performance of the controlled system regarding the input signal and the perturbation; and 2) the controlling system behaviour at the process parameter variation and at the manifestation of the unmodeled dynamics
Keywords
feedforward neural nets; identification; neurocontrollers; nonlinear control systems; process control; transfer functions; SISO systems; control structures; identification; internal model control; multilayer neural network; nonlinear process control; perturbation; transfer function; unmodeled dynamics; Automatic control; Automation; Control system synthesis; Equations; Inverse problems; Multi-layer neural network; Process control; Signal processing; Stability; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Control of Oscillations and Chaos, 1997. Proceedings., 1997 1st International Conference
Conference_Location
St. Petersburg
Print_ISBN
0-7803-4247-X
Type
conf
DOI
10.1109/COC.1997.626660
Filename
626660
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