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