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Dynamic Control Switching Applied to Water Resource Management Simulation 1
Author(s) -
Park Joseph,
Obeysekera Jayantha,
Van Zee Randy
Publication year - 2007
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.2007.00054.x
Subject(s) - abstraction , computer science , fuzzy logic , resource (disambiguation) , scheme (mathematics) , control (management) , resource management (computing) , bridge (graph theory) , piecewise , piecewise linear function , control theory (sociology) , control engineering , distributed computing , engineering , artificial intelligence , mathematics , medicine , computer network , mathematical analysis , philosophy , geometry , epistemology
Simulation of water resource management in hydrological numerical models is often limited to simple expressions such as rulecurves. More complex management requires additional layers of abstraction. Rulecurves tend to be simplistic, while abstraction implies expertise to convert management policies to a form which may not be recognizable by operators. The Regional Simulation Model (RSM) attempts to bridge this gap with the Management Simulation Engine (MSE). MSE allows dynamic switching of control algorithms facilitating hybrid control of modeled structures, even though the individual controllers are widely different. Use of hybrid controllers can simplify expression of complex management controls. This article details the architecture of the MSE that enables hybrid control. A model application is examined in which a set of tuned fuzzy controllers are dynamically switched with piecewise linear flood controllers to simulate a hybrid control scheme. The application models a Florida water conservation area and demonstrates effective flood control without sacrificing the tuned performance of the fuzzy controllers.