Achieving global stability through local controls

Author

Hogg, Tad ; Huberman, Bernardo A.

Author_Institution

Xerox Palo Alto Res. Center, CA, USA

fYear

1991

fDate

13-15 Aug 1991

Firstpage

67

Lastpage

72

Abstract

A simple and robust procedure for stabilizing the behavior of distributed systems in the presence of imperfect and delayed information is described. This decentralized mechanism is based on local rewards whereby the relative number of computational agents following effective strategies is increased at the expense of the others. This procedure, which generates a diverse population out of an essentially homogeneous one, is able to control the system through a series of dynamical bifurcations into a stable fixed point

Keywords

computation theory; distributed parameter systems; distributed processing; stability; computation theory; computational agents; delayed information; distributed processing; distributed systems; dynamical bifurcations; global stability; imperfect information; local controls; stable fixed point; Bifurcation; Centralized control; Chaos; Computer crashes; Control systems; Delay; Distributed computing; Nonlinear dynamical systems; Robustness; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1991., Proceedings of the 1991 IEEE International Symposium on

Conference_Location

Arlington, VA

ISSN

2158-9860

Print_ISBN

0-7803-0106-4

Type

conf

DOI

10.1109/ISIC.1991.187335

Filename

187335