Design for model parameter uncertainty using nonlinear confidence regions

An accurate method presented accounts for uncertain model parameters in nonlinear process optimization problems. The model representation is considered in terms of algebraic equations. Uncertain quantity parameters are often discretized into a number of finite values that are then used in multiperio...

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Veröffentlicht in:	AIChE journal 2001-08, Vol.47 (8), p.1794-1804
Hauptverfasser:	Rooney, William C., Biegler, Lorenz T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Chemical engineering Crystallization, leaching, miscellaneous separations Exact sciences and technology
Online-Zugang:	Volltext
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