Title :
Achieving global stability through local controls
Author :
Hogg, Tad ; Huberman, Bernardo A.
Author_Institution :
Xerox Palo Alto Res. Center, CA, USA
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;
Conference_Titel :
Intelligent Control, 1991., Proceedings of the 1991 IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-0106-4
DOI :
10.1109/ISIC.1991.187335
