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Title: Distributed Optimization System

Abstract

A search system and method for controlling multiple agents to optimize an objective using distributed sensing and cooperative control. The search agent can be one or more physical agents, such as a robot, and can be software agents for searching cyberspace. The objective can be: chemical sources, temperature sources, radiation sources, light sources, evaders, trespassers, explosive sources, time dependent sources, time independent sources, function surfaces, maximization points, minimization points, and optimal control of a system such as a communication system, an economy, a crane, and a multi-processor computer.

Inventors:
 [1];  [1];  [2]
  1. Albuquerque, NM
  2. (Tijeras, NM)
Issue Date:
Research Org.:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
OSTI Identifier:
879972
Patent Number(s):
6826431
Application Number:
10/392542
Assignee:
Sandia Corporation (Albuquerque, NM)
Patent Classifications (CPCs):
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02P - CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Country of Publication:
United States
Language:
English

Citation Formats

Hurtado, John E, Dohrmann, Clark R, and Robinett, III, Rush D. Distributed Optimization System. United States: N. p., 2004. Web.
Hurtado, John E, Dohrmann, Clark R, & Robinett, III, Rush D. Distributed Optimization System. United States.
Hurtado, John E, Dohrmann, Clark R, and Robinett, III, Rush D. Tue . "Distributed Optimization System". United States. https://www.osti.gov/servlets/purl/879972.
@article{osti_879972,
title = {Distributed Optimization System},
author = {Hurtado, John E and Dohrmann, Clark R and Robinett, III, Rush D.},
abstractNote = {A search system and method for controlling multiple agents to optimize an objective using distributed sensing and cooperative control. The search agent can be one or more physical agents, such as a robot, and can be software agents for searching cyberspace. The objective can be: chemical sources, temperature sources, radiation sources, light sources, evaders, trespassers, explosive sources, time dependent sources, time independent sources, function surfaces, maximization points, minimization points, and optimal control of a system such as a communication system, an economy, a crane, and a multi-processor computer.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2004},
month = {11}
}

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Works referenced in this record:

ALLIANCE: an architecture for fault tolerant, cooperative control of heterogeneous mobile robots
conference, January 1994


Cooperative search and rescue with a team of mobile robots
conference, January 1997


Touch Points in Optimal Ascent Trajectories with First-Order State Inequality Constraints
journal, July 1998


A shortcoming of the multilevel optimization technique
journal, July 1971