Distributed Optimization System

Hurtado, John E; Dohrmann, Clark R

Title: Distributed Optimization System

Patent · Tue Nov 30 00:00:00 EST 2004

OSTI ID:879972

Hurtado, John E ^[1]; Dohrmann, Clark R ^[1]

Albuquerque, NM

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.

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Research Organization:: Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)

DOE Contract Number:: AC04-94AL85000

Assignee:: Sandia Corporation (Albuquerque, NM)

Patent Number(s):: US 6826431

Application Number:: 10/392542

OSTI ID:: 879972

Country of Publication:: United States

Language:: English

References (5)

ALLIANCE: an architecture for fault tolerant, cooperative control of heterogeneous mobile robots Parker, L. E. Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94) https://doi.org/10.1109/IROS.1994.407550	conference	January 1994
A decentralized cooperation protocol for autonomous robotic agents Lin, Fang-Chang; Hsu, J. Yung-Jen Proceedings ISADS 95. Second International Symposium on Autonomous Decentralized Systems https://doi.org/10.1109/ISADS.1995.399002	conference	April 1995
Cooperative search and rescue with a team of mobile robots Jennings, J. S.; Whelan, G.; Evans, W. F. 1997 8th International Conference on Advanced Robotics. Proceedings. ICAR'97 https://doi.org/10.1109/ICAR.1997.620182	conference	January 1997
Touch Points in Optimal Ascent Trajectories with First-Order State Inequality Constraints Park, Sang-Young; Vadali, Srinivas R. Journal of Guidance, Control, and Dynamics, Vol. 21, Issue 4 https://doi.org/10.2514/2.4278	journal	July 1998
A shortcoming of the multilevel optimization technique Avery, C. J.; Foss, A. S. AIChE Journal, Vol. 17, Issue 4 https://doi.org/10.1002/aic.690170439	journal	July 1971

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