Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Evanghelos Zafiriou"'
Autor:
Evanghelos Zafiriou, Jen-Hao Cheng
Publikováno v:
Chemical Engineering Communications. 191:767-795
A robust model-based iterative feedback optimization methodolgy has been introduced in previous work for the steady-state optimization of chemical process operations without requiring cumbersome model updating. Here we extend the methodology to utili
Autor:
Evanghelos Zafiriou, Jen-Hao Cheng
Publikováno v:
Industrial & Engineering Chemistry Research. 43:3577-3589
A robust model-based iterative feedback optimization methodology for the steady-state optimization of chemical process operations was introduced in a previous work (Cheng, J.-H.; Zafiriou, E. Ind. Eng. Chem. Res. 2000, 39, 4215) as a complementary ap
Publikováno v:
Industrial & Engineering Chemistry Research. 43:3685-3694
A new approach to designing plantwide control systems that is based on a linear dynamic process model and output optimal control is extended in this paper. The design of a plantwide architecture is split into four stages, and the results from one sta
Autor:
Evanghelos Zafiriou, Qingsheng Zheng
Publikováno v:
Industrial & Engineering Chemistry Research. 43:340-348
Volterra series models are attractive for use in model-based control of nonlinear processes because they are direct extensions of linear impulse response models commonly used in process control. However, a limitation in their use is the fact that hig
Autor:
Evanghelos Zafiriou, Jen-Hao Cheng
Publikováno v:
IFAC Proceedings Volumes. 35:357-362
An iterative feedback optimization methodology has been introduced as a complementary approach to conventional real-time optimization (RTO) methods to improve plant operation without requiring repetitive model updating. In this paper, the results ana
Publikováno v:
Journal of Process Control. 11:265-284
This paper presents an intuitive on-line tuning strategy for linear Model Predictive Control (MPC) algorithms. The tuning strategy is based on the linear approximation between the closed-loop predicted output and the MPC tuning parameters. By direct
Autor:
Jen-Hao Cheng, Evanghelos Zafiriou
Publikováno v:
Industrial & Engineering Chemistry Research. 39:4215-4227
We present a complementary approach to real-time optimization (RTO) for maximizing the operating profit of an existing chemical plant without requiring a model-updating procedure, which is cumbersome and which may not necessarily improve the model. T
Autor:
Jen-нао Cheng, Evanghelos Zafiriou
Publikováno v:
IFAC Proceedings Volumes. 33:863-868
We present a complementary approach to real-time optimization (RTO) for maximizing the operating profit of an existing chemical plant without requiring a model updating procedure, which is cumbersome and may not necessarily improve the model. The pro
Autor:
Gangadhar Gattu, Evanghelos Zafiriou
Publikováno v:
Chemical Engineering Journal. 75:21-29
Batch and semi-batch reactors are usually highly nonlinear and involve complex reaction mechanisms. Often, the lack of rapid direct or indirect measurements of the properties to be controlled makes the process control task very difficult. It is the u
Publikováno v:
IEEE Transactions on Semiconductor Manufacturing. 12:87-101
A reduced-order model describing a rapid thermal chemical vapor deposition (RTCVD) process is utilized for real-time model based control for temperature uniformity across the wafer. Feedback is based on temperature measurements at selected points on