A Robustness Constraint for the Analysis of Uncertaintyby James G. Uber, (S.M.ASCE), Univ of Illinois at, Urbana-Champaign, Urbana, IL, USA,
E. Downey Brill, Jr., (M.ASCE), Univ of Illinois at, Urbana-Champaign, Urbana, IL, USA,
John T. Pfeffer, (M.ASCE), Univ of Illinois at, Urbana-Champaign, Urbana, IL, USA,
Abstract: A sensitivity-based definition of system robustness is presented that can be formulated as a constraint within an optimization framework. The optimization framework permits the tradeoffs between a measure of robustness and other objectives to be quantified in a heuristic fashion. Significant insights can then be obtained about how uncertainty in parameter values affects other important design objectives. Results are presented for an application to wastewater treatment plant design.
Subject Headings: Uncertainty principles | Wastewater treatment plants | Frames | System analysis | Terminology and definition | Permits | Algorithms | Parameters (statistics)
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