DARPA ULTRALOG Final Report - Industrial and Manufacturing ...

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Manuscript for IEEE Transactions on Automatic Control 22 can say that AC-S is a robust policy to keep the system from behaving divergently and degrading performance significantly as have shown in the previous stability analysis. Table 4. Experimental results Control Policy FL FH AC-N AC-S Condition T V QoS T V QoS T V QoS T V QoS Con1 1656 13558 6934 6313 30643 5391 1663 22898 16245 1656 22884 16259 Con2 1652 13547 6942 6302 30643 5435 1723 22982 16089 1728 22959 16046 Con3 1656 13558 6934 6313 30643 5391 1966 23401 15539 1965 23403 15542 Con4 1652 13547 6942 6371 30643 5159 2024 23495 15401 2007 23406 15376 T: Completion time, V: Value of solution Fig. 9 shows the behavior of T * under adaptive control policies in unstressed environments. In the deterministic environment the system behaves stable under AC-S while diverging under AC- N. But, it is not valid in the stochastic environment because the system seems more stable under AC-N. This might explain partially why AC-S does not perform better in stochastic environments. 1720 1710 Optimal T 1700 1690 1680 1670 1660 1650 AC-S (Con2) AC-N (Con2) AC-S (Con1) AC-N (Con1) 1640 0 200 400 600 800 1000 1200 1400 1600 1800 Time Fig. 9. Behavior of T * in unstressed environments
Manuscript for IEEE Transactions on Automatic Control 23 The system controlled by adaptive control policies is naturally adaptive to changing environments as components monitor their environments and incorporate them into the decision process. As shown in Fig. 10 and 11 for deterministic case and Fig. 12 and 13 for stochastic case, when environment changes the system adapts to the new environment. 4000 3000 Optimal T 2000 1000 0 0 200 400 600 800 1000 1200 1400 1600 1800 2000 Time Fig. 10. Adaptive behavior of T * in deterministic environment (Con3) 6.0 A 8 A 4 5.0 A 2 Mode 4.0 3.0 A 1 2.0 1.0 0 200 400 600 800 1000 1200 1400 1600 1800 2000 Time Fig. 11. Adaptive behavior of v i * in deterministic environment (Con3)
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Ultra*Log PSU/IAI Final Report for
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Contents Contents .................
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Executive Summary Ultra*Log is a De
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2.3 Gnanasambandam, N., Lee, S., Ku
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6 Characterization and analysis of
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timizing simultaneously the link de
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where ∆ 1 (j) ≥ 0 and ∆ 2 (i,
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Table 2. GA Results Agent N A D max
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connected component, in which a pat
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Random Small-world Scale-free with
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Growth mechanisms Start with a smal
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Table 2. The proposed network’s c
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DMAS Controller. The functional uni
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1000 500 0 -500 -1000 0.2 0.4 0.6 0
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tems. Proceedings of the Second Joi
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Proceedings of the 1st Open Cougaar
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1 SITUATION IDENTIFICATION USING DY
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3 3.2 Behavior In SSC society an ag
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Page 50 and 51: Estimating Global Stress Environmen
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Page 56 and 57: interactions as a dynamical system
Page 58 and 59: ehavior states under varying system
Page 60 and 61: Extensive testing and validation of
Page 62 and 63: 5 Conclusions and Future Research T
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Page 68 and 69: 6 stresses well. The Warehouse 1 ag
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Page 72 and 73: Table 1: Notation Symbol Descriptio
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Page 78 and 79: Manuscript for IEEE Transactions on
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Page 110 and 111: 6 S UB i ∑ = P LI / LI . (16) i p
Page 112 and 113: 8 policies while underutilizing in
Page 114 and 115: architecture based on both the Grid
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Page 118 and 119: component is a member of one of the
Page 120 and 121: denotes the immediate predecessors
Page 122 and 123: limit of large number of tasks. If
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Page 126 and 127: We set up eight different experimen
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Page 130 and 131: pp. 191-200. [3] I. Foster, C. Kess
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Manuscript for IEEE TRANSACTIONS ON
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Coordinating Control Decisions of S
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directly. It has coarser scale. It
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Understanding Agent Societies Using
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• For tasks, the UID of the direc
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for tracking the dependencies betwe
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within the monitored enclave. With
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Figure 1. Agent Hierarchy in CPE So
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Figure 3. The World Model CPY Agent
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Table 2. TechSpecs: Infrastructure
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terms of the average waiting times
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Acknowledgements The work described
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key realization to tackle this prob
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are or ignored perturbations. The e
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sustained oscillations. If the inst
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solved by biological systems for li
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non-linear and non-stationarity. Ne
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D k : Outflow from high priority qu
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the system starts to perform self-s
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sustained in a supply chain. Resour
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which are necessary to make good mo
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focusing on the computational compl
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line of research that deals with ne
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ealizable. But the inherent complex
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Min, H. and Zhou, G., 2002, Supply
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In the rest of this paper we report
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shows relatively irregular behavior
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