Title :
Neurocontrol and the Youla parameterization
Author :
Saeks, R. ; Kaiser, J. ; Cox, C.
Author_Institution :
Accurate Autom. Corp., Chattanooga, TN, USA
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;
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
DOI :
10.1109/ICSMC.1993.390693
