DocumentCode
290653
Title
Neurocontrol and the Youla parameterization
Author
Saeks, R. ; Kaiser, J. ; Cox, C.
Author_Institution
Accurate Autom. Corp., Chattanooga, TN, USA
fYear
1993
fDate
17-20 Oct 1993
Firstpage
115
Abstract
The paper presents a hybrid frequency domain/neurocontrol algorithm. Neural network techniques are used to adjust the Youla parameter (D.C. Youla et al., 1976) in an appropriately parameterized control system. The resulting neurocontroller is stable, robust, and reconfigurable. The learning algorithm is capable of choosing the order of the Youla parameter. Results are given to validate the concept
Keywords
frequency-domain analysis; learning (artificial intelligence); neural net architecture; neurocontrollers; Youla parameter; Youla parameterization; hybrid frequency domain/neurocontrol algorithm; learning algorithm; neural network techniques; neurocontroller; parameterized control system; Asymptotic stability; Bandwidth; Broadband antennas; Delay; Force feedback; Neural networks; Neurocontrollers; Neurofeedback; Neurons; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location
Le Touquet
Print_ISBN
0-7803-0911-1
Type
conf
DOI
10.1109/ICSMC.1993.390693
Filename
390693
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