Accession Number:

ADA533583

Title:

Gyroscopic Many Body Problems in Cooperative and Adversarial Control

Descriptive Note:

Final rept. 1 Aug 2006-31 Mar 2010

Corporate Author:

MARYLAND UNIV COLLEGE PARK

Personal Author(s):

Report Date:

2010-04-01

Pagination or Media Count:

11.0

Abstract:

In this project, the primary aim is to advance the science of controlling collectives of systems engaged in cooperative and adversarial behaviors, by focusing on a robust dyadic i.e. pair-wise interaction laws between particles modeling UAVUGVUUV interactions to achieve a rich collection of spatio-temporal patterns of cooperative behavior b robust scalable dyadic pursuit laws as building blocks of adversarial interactions c optimality principles underlying interactions laws that gives rise to cooperative and adversarial behavior d insight from biological processes such as prey-capture behavior or pursuit, in echolocating bats, and in visual insects such as dragonfliese verification of the theoretical advances in a laboratory test-bed consisting of commercial robotic platforms equipped with distributed agent-based control software, and an indoor GPS system based on ultrasonic ranging. Methods used in this research include techniques from geometric mechanics and control on Lie groups, and optimal control and game theory. The project has contributed basic results in pursuit laws as building blocks for cooperative and adversarial control. In collaboration with biologists, methods developed in this project are enhancing our understanding of prey-capture behavior in single and multiple echolocating bats.

Subject Categories:

  • Information Science
  • Theoretical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE