Computational Study of Complex Dynamics in Engineering      Systems
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
{'SignBlockName': 'George K. Lea', 'PO_EMAI': None, 'PO_PHON': None}
The study of the dynamic behavior of engineering systems (through               experiments, modelling, and computation) is an integral part of the             understanding, design, operation, and control of engineering                    processes, ranging from laboratory-scale experiments to operating               chemical plants.  Treating problems that range from periodic                    harvesting of a bioreactor to the response of large structures to               oscillatory loads as time marching problems, initial value problems,            has traditionally provided most of the information for systems                  dynamics.                                                                                                                                                       During the last ten years local bifurcation analysis have been                  developed as an alternative method to classify the behavior of                  nonlinear systems.  In fact, algorithms are available for bifurcation           analysis, e.g. AUTO, PITCON, DERPAR, PEFLOQ, etc.  The algorithms are           based on the numerical implementation of analytical procedures close            to bifurcation points and iterative solution of nonlinear equations.            However, most of these treat only periodic responses and local                  bifurcations.  This research project will extend dynamic system                 studies to more general system response with special emphasis on                interactive graphic data manipulation at the work station level.
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{'Name': 'Princeton University', 'CityName': 'PRINCETON', 'ZipCode': '085442001', 'PhoneNumber': '6092583090', 'StreetAddress': '1 NASSAU HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NJ12', 'ORG_UEI_NUM': 'NJ1YPQXQG7U5', 'ORG_LGL_BUS_NAME': 'THE TRUSTEES OF PRINCETON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '1495', 'Text': 'COMPUTATIONAL ENGINEERING'}, {'Code': '1518', 'Text': 'CONTROL, NETWORKS, & COMP INTE'}]
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