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This work is part of an ongoing investigation aimed at applying the tools of control theory to gain a deeper understanding of crowd psychology and ultimately to control the relevant psychological dynamics. The present treatment investigates an approach to stabilize a queue, that is, a onedimensional crowd structure. We pursue the problem in which an authoritative figure, termed a control agent, issues signals that propagate through the queue to drive specific components of the queue's state to zero. Simulations confirm that the control strategy performs admirably in ideal conditions; however, in the presence of system noise, performance deteriorates dramatically as the queue length increases.

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