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Proceedings of the 2002 IEEE engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical engineering Society (BMES / EMBS)

作者： Kamei, Daniel T. Tidor, Bruce Lauffenburger, Douglas A. Biotechnology Process Eng. Center Massachusetts Institute of Technol. Cambridge MA 02139 United States Biological Engineering Division Massachusetts Institute of Technol. Cambridge MA 02139 United States Dept. of Elec. Eng. and Comp. Sci. Massachusetts Institute of Technol. Cambridge MA 02139 United States Department of Chemical Engineering Massachusetts Institute of Technol. Cambridge MA 02139 United States

The long-term goal of this research is to combine computational structural biology with quantitative cell biology to rationally develop therapeutic proteins with increased half-lives. Therapeutic proteins with increased half-lives should decrease the frequency of injections and allow the administration of low and potentially non-toxic concentrations of protein. Our approach for addressing this challenge is to conjugate a therapeutic protein to a protein fragment with a long half-life. The Fc fragment of immunoglobulin G (IgG) has a long half-life due to its propensity for being recycled in the vascular endothelium. Specifically, when IgG enters the endosomes of these epithelial cells, the neonatal Fc receptor, FcRn, binds to the Fc fragment of IgG. This binding of FcRn to Fc has been experimentally found to enhance the recycling of IgG back to the cell surface, which decreases the amount of IgG that is degraded in the lysosomes. Since there is potential for engineering Fc fragments with even longer half-lives, we want to develop guidelines for identifying appropriate mutations. The interaction between Fc and FcRn must therefore be fundamentally understood, and theoretical models for studying this interaction will be validated in this presentation by comparing theoretical predictions with available experimental data.

关键词： Proteins

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Nonlinear model predictive control of end-use properties in batch reactors under uncertainty 6

Nonlinear model predictive control of end-use properties in ...

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6th European control Conference, ECC 2001

作者： Valappil, Jaleel Georgakis, Christos Chemical Process Modeling and Control Research Center Department of Chemical Engineering Lehigh Univeristy BethlehemPA18015 United States

ISBN: (纸本)9783952417362

There are significant incentives in controlling the end-use properties in batch reactors to reduce the variability in the final product quality specifications. Here we define an approach for controlling the properties within a desired target region, instead of a set point, with an economic objective and with consideration of the model uncertainty. The approach to handling process-model mismatch is based on determining the uncertainty in the predicted final values of the properties, in the form of elliptical confidence regions. The controller then ensures that the complete confidence region is within the target set. A semi-infinite programming problem is solved to find the input values for the rest of the batch, utilizing techniques that reduce the complexity of the problem. An emulsion polymerization process for styrene is chosen as a case study and the methods developed here are demonstrated on this challenging example process. © 2001 EUCA.

关键词： Batch reactors

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On the operability of continuous processes

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IFAC Proceedings Volumes 2001年第25期34卷 65-76页

作者： Christos Georgakis Derya Uztürk Sivakumar Subramanian David R. Vinson Chemical Process Modeling and Control Research Center and Department of Chemical Engineering Lehigh University Air Products and Chemicals Allentown PA

This paper offers a brief overview of past work as well as a critique of the state of the art from the perspective of a recently introduced operability framework (Vinson and Georgakis, 1998, 2000). This framework aims to quantify the inherent operability of a process without having to specify the control structure. It enables the identification of inoperable processes, regardless of the feedback controller selected, necessitating process rather than controller changes. Evaluation of steadystate operability is a necessary first step which should subsequently be complemented by the examination of the dynamic operability. The defined concepts are based on some key operating spaces. These spaces define the available ranges of input variables, the desired ranges of output variables, and the expected ranges of disturbance variables of the process. The calculation of the operability index is demonstrated for linear and the more general case of nonlinear models. This is achieved by mapping the defined input and output spaces onto each other using the nonlinear steadystate model of the process. Dynamic operability is examined by solving an optimal control problem to find the minimum time within which the process can respond to a disturbance or move to a new operating point with the available ranges of inputs.

关键词： integration of design and control operability controllability operability index minimum-time optimal control

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Nonlinear model predictive control of end-use properties in batch reactors under uncertainty

Nonlinear model predictive control of end-use properties in ...

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European control Conference (ECC)

作者： Jaleel Valappil Christos Georgakis Chemical Process Modeling and Control Research Center and Department of Chemical Engineering Lehigh Univeristy Bethlehem PA USA

关键词： Uncertainty Approximation methods Mathematical model Covariance matrices Equations Programming Eigenvalues and eigenfunctions

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State estimation and nonlinear model predictive control of end-use properties in batch reactors

State estimation and nonlinear model predictive control of e...

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American control Conference (ACC)

作者： J. Valappil C. Georgakis Chemical Process Modeling and Control Research Center Department of Chemical Engineering Lehigh University Bethlehem PA USA

There are economic incentives in controlling the end-use properties in batch reactors to reduce the variability in the final product quality specifications. Here we define an approach for controlling the properties within a desired target region, instead of a set point, with an economic objective and with consideration of the model uncertainty. The approach to handling process-model mismatch is based on determining the uncertainty in the predicted final values of the properties, in the form of elliptical confidence regions. The controller then ensures that the complete confidence region is within the target region. A semi-infinite programming problem is solved to find the input values for the rest of the batch. The methods developed here are demonstrated on an emulsion polymerization example.

关键词： State estimation Predictive models Predictive control Inductors Uncertainty Economic forecasting Polymers chemical processes process control chemical engineering

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Operating point, dynamic behavior, and control structure design for an industrial butadiene plant

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IFAC Proceedings Volumes 2001年第25期34卷 131-136页

作者： S.M. Marcon J.O. Trierweile A.R. Secchi L.P. Lusa M. Farenzena Laboratory of Process Control and Integration (IACIP) Dept. of Chemical Engineering. Federal University of Rio Grande do Sui (UFRGS) Rua Marechal Floriano 501 CEP: 90020-061 - Porto Alegre - RS - BRAZIL

The Butadiene Extractive Unit (BEU) recovers 1, 3-butadiene (BD) from a C4 stream of an ethylene plant. The main goals of this work are to increase the operating time, the feed flow rate, and the BD production of a industrial BEU. These goals will be reached through the proposition of a new operating point and the selection of an appropriate control strategy for the first extractive distillation column. The study is based on the knowledge of the dynamic and stationary characteristics of the unit. The analysis of the process behavior was accomplished using a model developed in the commercial simulators ASPEN Plus and Dynamics v.10.1. The model was validated using real data from an industrial unit.

关键词： Plant Wide control control Structure Design process Operation and Optimization Dynamic Simulation Butadiene unit

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Editorial

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Aerosol Europe 2001年第4期9卷 3-3页

作者： Braune, B.V. Dept. of Chemical Engineering Curtin University of Technology GPO Box UI987 Perth WA 6845 Australia National Loboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 P. R. China

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Incorporation of Raw Material Quality Information on Fermentation Estimation Models

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IFAC Proceedings Volumes 2001年第5期34卷 421-426页

作者： C.C.F. Cunha J. Glassey G.A. Montague S. Albert P. Mohan Dept. Chemical and Process Engineering University of Newcastle upon Tyne Newcastle upon Tyne NEl 7RU. UK Eli Lilly & Co Speke Operations. Fleming Road Speke. Liverpool. L24 9LN UK Eli Lilly & Co. Engineering Technology Center. Indianapolis 46285 USA

This paper investigates the influence of the quality of complex raw materials in a fermentation process by developing data-based models (using Multiway Partial Least Squares) for final productivity estimation in an industrial antibiotic production operated by Eli Liliy. Near infrared (NIR) spectroscopy measurements of a selected raw material are available. Wavelets are used to compress the NIR spectra for use in the models, while still retaining the main information about the raw material.

关键词： Bioprocess monitoring multiway partial least squares raw material wavelets performance monitoring statistical analysis

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Abstracts of presentations at the 18th Conference of the Entomological Society of Israel - May 18, 2000 - ARO, The Volcani center, Bet Dagan, Israel

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PHYTOPARASITICA 2001年第1期29卷 51-89页

作者： [Anonymous] Dept. of Cell and Animal Biology The Hebrew University of Jerusalem Jerusalem Israel Dept. of Entomology Israel Dept. of Chemistry The Volcani Center ARO Bet Dagan Integrated Pest Management Fruit Crops Experiment Station Agriculture Company in Upper Galilee Kibbutz Yiron Ministry of Agriculture and Rural Development Extension Service Qiryat Dept. of Stored Products Pheromone Research Lab. ARO The Volcani Center Bet Dagan Israel Div. of Bioresource and Bioenvironmental Sciences Graduate School Kyushu University Fukuoka Japan Mitrani Dept. for Desert Ecology Blaustein Institute for Desert Research Ben-Gurion University of the Negev Sede Boqer Campus Israel Dept. of Chemistry University of Hamburg Germany Dept. of Entomology ARO The Volcani Center Bet Dagan Dept. of Zoology Faculty of Life Science Tel-Aviv University Tel Aviv Israel Plant Protection and Inspection Services Ministry of Agriculture and Rural Development Bet Dagan Israel Carmel Mizrahi Rishon LeZiyyon Ministry of Agriculture and Rural Development Extension Service Rehovot Israel Agricultural Department Agan Chemical Manufacturers Ashdod Israel Dept. of Entomology ARO Gilat Research Station M.P. Negev Israel Entomology Laboratory Ministry of Health Jerusalem Israel Kimron Veterinary Institute Bet Dagan Israel USDA/ARS Gainesville USA Dept. of Stored Products ARO The Volcani Center Bet Dagan Israel Dept. of Plant Protection Southwest Agricultural University Chonqing China Makliteshim Chemical Works Ltd. Be’er Sheva Israel Dept. of Entomology ARO The Volcani Center Bet Dagan Israel Jerusalem Bet Dagan Israel Plant Protection Division Extension Service Ministry of Agriculture and Rural Development 1 ha ’Hamaqim District Bet Dagan Dept. of Plant Science Faculty of Life Science Tel-Aviv University Tel Aviv Israel Dept. of Plant Sciences Tel-Aviv University Tel Aviv Vitality Biotechnologies (Israel) Ltd. Carmel Industrial Park Tirat HaCarmel Israel Max-Planck-Institut Cologne

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Steady State Optimal Test Signal Design for Constrained Multivariable Systems

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IFAC Proceedings Volumes 2000年第15期33卷 1213-1218页

作者： Qiang Zhan Christos Georgakis Chemical Process Modeling and Control Center and Dept. of Chemical Engineering Lehigh University Bethlehem PA 18015

A new input signal design method is proposed for constrained multivariable systems that aims to maximize the signal to noise ratio while also meeting certain input and output constraints. The proposed methodology utilizes an approximate steady state model that is assumed to be known a-priori. The steady state operability concepts are used to incorporate the steady state input and output constraints into the signal design. The input test signal design problem is formulated as a nonlinear optimization problem and it is shown that all the existing methods can be unified under this proposed design framework. It will be proven that the design method is D-optimal from a steady state perspective. For ill-conditioned systems, more energy will be automatically directed in the weak directions. An example will be given to demonstrate the superiority of the method.

关键词： Identification Input Signal Design Multivariable control

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