Global optimization in design and control of chemical process systems

被引：48

作者：

Floudas, CA ^{[1
]}

机构：

[1] Princeton Univ, Dept Chem Engn, Princeton, NJ 08544 USA

来源：

JOURNAL OF PROCESS CONTROL | 2000年 / 10卷 / 2-3期

基金：

美国国家科学基金会; 美国国家卫生研究院;

关键词：

global optimization; twice differentiable NLPs; mixed-integer nonlinear optimization; locating all solutions; alpha BB approach; design and control;

D O I：

10.1016/S0959-1524(99)00019-0

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an overview of the recent advances in deterministic global optimization approaches and their applications in the areas of Process Design and Control. The focus is on global optimization methods for (a) twice-differentiable constrained nonlinear optimization problems, Cb) mi?;ed-integer nonlinear optimization problems, and (c) locating all solutions of nonlinear systems of equations. Theoretical advances and computational studies on process design, batch design under uncertainty, phase equilibrium, location of azeotropes, stability margin, process synthesis, and parameter estimation problems are discussed. (C) 2000 IFAC. Published by Elsevier Science Ltd. All rights reserved.

引用

页码：125 / 134

页数：10

共 59 条

[1]

Adjiman CS, 1997, COMPUT CHEM ENG, V21, pS445

[2] A global optimization method, αBB, for general twice-differentiable constrained NLPs -: I.: Theoretical advances [J].