DocumentCode
2386572
Title
Feedback control of macroscopic crowd dynamic models
Author
Wadoo, Sabiha A. ; Al-nasur, Sadeq ; Kachroo, Pushkin
Author_Institution
Dept. of Electr. & Comput. Eng., NYIT, Old Westbury, NY
fYear
2008
fDate
11-13 June 2008
Firstpage
2558
Lastpage
2563
Abstract
This paper presents design of nonlinear feedback controllers for two different macroscopic models for two- dimensional pedestrian dynamics. The models presented here are based on the laws of conservation of mass and momentum. These models have been developed by extending one-dimension macroscopic vehicle traffic flow models that use two-coupled partial deferential equations (PDEs). These models modify the vehicle traffic models so that bi-directional controlled flow is possible. Both models satisfy the conservation principle and are classified as nonlinear, time-dependent, hyperbolic PDE systems. The equations of motion in both cases are described by nonlinear partial differential equations. We address the feedback control problem for both models in the framework of partial differential equations. The objective is to synthesize nonlinear distributed feedback controllers that guarantee stability of a closed loop system.
Keywords
closed loop systems; conservation laws; feedback; hyperbolic equations; multidimensional systems; nonlinear control systems; nonlinear differential equations; partial differential equations; stability; 1D macroscopic vehicle traffic flow model; 2D pedestrian dynamics; bidirectional controlled flow; closed loop system; hyperbolic PDE systems; macroscopic crowd dynamic models; mass conservation; momentum conservation; nonlinear PDE systems; nonlinear feedback controllers; stability; time-dependent PDE systems; two-coupled partial deferential equations; Adaptive control; Bidirectional control; Control system synthesis; Differential equations; Feedback control; Nonlinear equations; Partial differential equations; Traffic control; Vehicle dynamics; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2008
Conference_Location
Seattle, WA
ISSN
0743-1619
Print_ISBN
978-1-4244-2078-0
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2008.4586876
Filename
4586876
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