间歇过程动态优化方法综述
A Survey on Dynamic Optimization Methods of Batch Processes
查看参考文献50篇
|
文摘
|
间歇过程的动态优化近年来引起了广泛关注.针对近期主要的研究成果,综述了间歇过程动态优化中的数学模型、求解方法及控制架构等问题,介绍了间歇过程目前主要的操作优化方法,具体分析了含不确定性间歇过程的动态优化策略,总结了间歇过程常用的优化模拟计算工具.最后探讨了这一领域中值得进一步研究的问题和可能的发展方向. |
|
其他语种文摘
|
Dynamic optimization of batch processes has attracted extensive attention in recent years.For recent main researches,the related mathematical models,solution methods and control structures in dynamic optimization of batch processes are reviewed.Main operation optimization methods in batch processes are discussed.Dynamic optimization strategies for uncertainty batch processes are analyzed concretely.Conventional optimal simulation and computation softwares for batch processes are summarized.Finally,some open problems and the development trends of the dynamic optimization are presented. |
|
来源
|
信息与控制
,2012,41(1):75-82 【核心库】
|
|
关键词
|
间歇过程
;
动态优化
;
控制架构
;
不确定性
|
|
地址
|
1.
中国科学院沈阳自动化研究所工业信息学研究室, 辽宁, 沈阳, 110016
2.
沈阳化工大学信息工程学院, 辽宁, 沈阳, 110142
|
|
语种
|
中文 |
|
文献类型
|
综述型 |
|
ISSN
|
1002-0411 |
|
学科
|
自动化技术、计算机技术 |
|
基金
|
国家自然科学基金资助项目
;
国家863计划
|
|
文献收藏号
|
CSCD:4494163
|
参考文献 共
50
共3页
|
|
1.
陈治纲. 间歇过程优化与先进控制综述.
化工自动化及仪表,2003,30(3):1-6
|
被引
9
次
|
|
|
|
|
2.
张兵.
化工动态优化方法的研究与应用,2005
|
被引
2
次
|
|
|
|
|
3.
Biegler L T. An overview of simultaneous strategies for dynamic optimization.
Chemical Engineering and Processing,2007,46(11):1043-1053
|
被引
34
次
|
|
|
|
|
4.
Engell S. Feedback control for optimal process operation.
Journal of Process Control,2007,17(3):203-219
|
被引
32
次
|
|
|
|
|
5.
周华. 间歇反应过程的动态优化与集成控制.
华南理工大学学报：自然科学版,2008,36(11):51-56
|
被引
1
次
|
|
|
|
|
6.
贺益君. 多目标粒子群算法用于补料分批生化反应器动态多目标优化.
化工学报,2007,58(5):1262-1270
|
被引
13
次
|
|
|
|
|
7.
Srinivasan B. Dynamic optimization of batch processes: I. Characterization of the nominal solution.
Computers & Chemical Engineering,2003,27(1):1-26
|
被引
30
次
|
|
|
|
|
8.
Biegler L T. Retrospective on optimization.
Computers & Chemical Engineering,2004,28(8):1169-1192
|
被引
20
次
|
|
|
|
|
9.
Kameswaran S. Simultaneous dynamic optimization strategies: Recent advances and challenges.
Computers & Chemical Engineering,2006,30(10/12):1560-1575
|
被引
23
次
|
|
|
|
|
10.
Elisaveta G. Basic-genetic algorithm for engineering problems solution.
Computers & Chemical Engineering,2006,30(1):1293-1309
|
被引
1
次
|
|
|
|
|
11.
Dorigoa M. Ant colony optimization theory: A survey.
Theoretical Computer Science,2005,344(2/3):243-278
|
被引
118
次
|
|
|
|
|
12.
Tatjewski P. Iterative set-point optimizing control - The basic principle redesigned.
Proceedings of the 15th IFAC World Congress,2002:49-54
|
被引
1
次
|
|
|
|
|
13.
Grossmann I E. Enterprise-wide optimization: A new frontier in process systems engineering.
AIChE Journal,2005,51(7):1846-1857
|
被引
21
次
|
|
|
|
|
14.
Kadam J. Integration of economical optimization and control for intentionally transient process operation.
Assessment and Future Directions of NMPC,2007:419-434
|
被引
1
次
|
|
|
|
|
15.
Biegler L T. Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization.
Computers & Chemical Engineering,2009,33(3):575-582
|
被引
31
次
|
|
|
|
|
16.
Zavala V M. The advanced-step NMPC controller: Optimization, stability and robustness.
Automatica,2009,45(1):86-93
|
被引
10
次
|
|
|
|
|
17.
Zavala V M. Fast implementations and rigorous models: Can both be accommodated in NMPC.
International Journal of Robust and Nonlinear Control,2008,18(3):800-815
|
被引
3
次
|
|
|
|
|
18.
Nagy Z K. Real-time implementation of nonlinear model predictive control of batch processes in an industrial framework.
Assessment and Future Directions of NMPC,2007:429-433
|
被引
1
次
|
|
|
|
|
19.
Camacho E F. Nonlinear model predictive control: An introductory survey.
Assessment and Future Directions of NMPC,2007:1-16
|
被引
1
次
|
|
|
|
|
20.
Magni L. Robustness and robust design of MPC for nonlinear discret-time systems.
Assessment and Future Directions of NMPC,2007:239-254
|
被引
1
次
|
|
|
|
|
了解气象卫星更多信息，请访问