DocumentCode :
2922422
Title :
About an autonomous adaptive control methodology
Author :
Zhdanov, Alexander A.
Author_Institution :
Dept. of Simulation Syst., Acad. of Sci., Moscow, Russia
fYear :
1998
fDate :
14-17 Sep 1998
Firstpage :
227
Lastpage :
232
Abstract :
We present the basis of the original autonomous adaptive control (AAC) methodology. It is an approach to the design of intelligent systems that simulate structure and functions of the nervous system and brain. The AAC methodology idea is that structure and functions of the nervous system are forced to follow the control system conditions at an initial moment. The initial conditions are: (a) the control system (CS) is a discrete device; (b) the CS is located inside of the controlled object; (c) the CS has minimum initial knowledge. We briefly described the AAC CS structure and functions. The AAC CS can be made, for example, in neural networks form
Keywords :
adaptive control; control system synthesis; discrete systems; intelligent control; neural nets; autonomous adaptive control methodology; brain; discrete device; intelligent systems; nervous system; neural networks form; Adaptive control; Brain modeling; Control systems; Electronic mail; Force control; Intelligent structures; Intelligent systems; Nervous system; Organisms; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings
Conference_Location :
Gaithersburg, MD
ISSN :
2158-9860
Print_ISBN :
0-7803-4423-5
Type :
conf
DOI :
10.1109/ISIC.1998.713665
Filename :
713665
Link To Document :
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