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检索条件"任意字段=Symposium on Dynamics and Control of Process Systems"

共 1795 条记录，以下是491-500 订阅

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Robust Dynamic Optimization of a Semi-Batch Emulsion Polymerization process with Parametric Uncertainties - A Heuristic Approach

Robust Dynamic Optimization of a Semi-Batch Emulsion Polymer...

引用

11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Puschke, Jennifer Mitsos, Alexander Rhein Westfal TH Aachen Aachener Verfahrenstech Proc Syst Engn Aachen Germany

Optimized exothermic semi-batch emulsion polymerization typically exhibits active arcs of the constraints for the reactor temperature. Given parametric uncertainties in the process model, this might lead to constraint violations which are a safety concern. Therefore, an approach is investigated, such that constraint violations are less likely and is hence robust feasible. The two-model approach is presented as an approximate solution. Therein, two models, the nominal and a worst-case model are optimized simultaneously. Because of the challenges in defining the worst-case, a heuristic method is presented to define the worst-case parameter and its parameter value. The results of the process optimization with the two model approach are compared with the results of the optimization with the nominal[ model solely. In addition the feasibility of both optimization strategies is compared by simulating hundred different scenarios with random parameter values from the uncertainty set. The presented approximation does not guarantee robust, feasibility, but path constraint violations are less likely due to the introduced conservatism compared to the original optimization. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Robust dynamic optimization parameter uncertainty uncertain dynamic systems optimal control problem

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control loop performance monitoring - ABB's experience over two decades

Control loop performance monitoring - ABB's experience over ...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Starr, Kevin D. Petersen, Heiko Bauer, Margret ABB Inc Westerville CO 80305 USA Univ Witwatersrand Sch Elect & Informat Engn ZA-2050 Johannesburg South Africa

When process control systems do not perform as they should, plant personnel will not obtain positive results and may even give up using some control loops entirely. To increase productivity and efficiency it must be ensured that the control system is used effectively. The best way to do tins is to turn the automatic control on and to tulle it correctly. This paper describes the expertise in control loop performance monitoring gathered by ABB's control experts. With more automated production processes and fewer experts, control loop performance monitoring (LPM) needs to be able to evaluate one hundred loops at a time instead of loop-by-loop analysis. Tins cannot be done with training or manual tools. In this paper, ABB's perspective on loop performance monitoring as well as several novel features is described. Finally, further research directions are highlighted. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： control loop performance monitoring PID control industry automation process control chemical industry paper industry

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Transient control of Resistive Random Access Memory for High Speed and High Endurance Performance

Transient Control of Resistive Random Access Memory for High...

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International symposium on VLSI Technology, systems and Application (VLSI-TSA)

作者： Wang, Weijie Yang, Hongxin Zhuo, Victor Yiqian Li, Minghua Chua, Eng Keong Jiang, Yu ASTAR Data Storage Inst 2 Fusionopolis Way Singapore 138634 Singapore

ISBN: (纸本)9781467394789

Of all the advantages exhibited by the RRAM devices, e.g. low power consumption, fast switching speed, and especially the good scalability are particularly striking for high density memory application. However, 3D RRAM still suffer from poor endurance especially during high speed operation which limits its extensive applications. Here, we report the transient control method which enables a significant improvement of device stability and endurance. We demonstrated the stable transient control under the fast pulse switching in RRAM cells with different sizes of 1 mu m and 200 nm. Endurance higher than 10(7) cycles are achieved while keeping the ratio of high/low resistance level at 10(3). High speed switching with 1 ns pulse width can be achieved. We unveil the material switching dynamics responsible for the stable transient process, which is responsible for the higher endurance for RRAM devices.

关键词： RRAM

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Robust control for a multi-stage evaporation plant in the presence of uncertainties

Robust control for a multi-stage evaporation plant in the pr...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Philipp Nguyen Tenno, Robert Aalto Univ Dept Automat & Syst Technol Sch Elect Engn Espoo 02150 Finland

A Multi Stage Flash evaporation plant is investigated as a partly unknown process represented by structured uncertainties concerning several model parameters. Robust control designs in form of H-infinity, loop-shaping and it controllers are applied to the plant. The control objective has been obtained from previous work, where the optimal operating point has been shown to be in form of a reference liquid level profile throughout all the tanks of the plant. The incorporation of uncertainties and the controller into the generalized plant is done via Linear Fractional Transformations. The nominal as well as robust stability and performance are investigated for the controllers. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： controllers

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Optimization of a Microalgae Growth process in Photobioreactors

Optimization of a Microalgae Growth Process in Photobioreact...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Ifrim, George Titica, Mariana Barbu, Marian Ceanga, Emil Caraman, Sergiu Dunarea de Jos Univ Galati Domneasca St 47 Galati 800008 Romania Univ Nantes LUNAM GEPEA UMR CNRS 6144 Univ Bd CRTT BP 406 F-44600 St Nazaire France

The paper proposes a control structure for the optimization of the microalgae cultivation process in photobioreactors, which uses a performance criterion that includes productivity and light use. A 16th order first principles dynamic model was used in the analysis of the control structure. The main results noted in the paper are the following: the realistic evaluation of the performances of the extremum seeking algorithm, solving the optimization problem;the analysis of two light supply control methods;and the identification of two approaches able to replace the extremum seeking optimizer with a biomass control loop that operates at an optimal setpoint determined with the mathematical model. The results were validated through numerical simulation. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. Ali rights reserved.

关键词： Photobioreactor modelling process control optimization extremum seeking

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Retrospective Optimization of Daily Insulin Therapy Parameters: control Subject to a Regenerative Disturbance process

Retrospective Optimization of Daily Insulin Therapy Paramete...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Patek, Stephen D. Lv, Dayu Campos-Nanez, Enrique Breton, Marc Univ Virginia Dept Syst & Informat Engn Charlottesville VA 22904 USA Univ Virginia UVA Ctr Diabet Technol Charlottesville VA 22904 USA

This paper develops a novel approach to data-driven optimization of insulin pump treatment parameters in Type 1 Diabetes (T1D). In this approach, records of continuous glucose monitoring CM), insulin delivery, and meal records are used (I) to retrospectively estimate samples of the disturbance process that is responsible for daily variability in blood glucose and (ii) to optimize the parameters of functional insulin therapy (i.e. the patient's basal rate, correction factor;and carbohydrate ratio profiles) against the ensemble of estimated disturbance process samples. We illustrate the proposed methodology through retrospective application to data, collected in a 30-day field study of patients with T1D, as well as through in silico pre-clinical trials using the PDA-accepted Virginia / Padova Type 1 Simulator. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights

关键词： Metabolic Engineering and systems Biology Model Based control Modelling and System Identification

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Gas Phase Train in Upstream Oil & Gas Fields: PART-I Model Development

Gas Phase Train in Upstream Oil & Gas Fields: PART-I Model D...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Al-Naumani, Y. H. Rossiter, J. A. Bahlawi, S. J. Petr Dev Oman LLC Qual Measuring Instruments & Metering Supervisor POB 81Postal Code 100 Muscat Oman Univ Sheffield Dept Automat Control & Syst Engn Sheffield S1 3JD S Yorkshire England Prod Support Team Lead Harwell Berks England

The prime contribution of this paper is to provide a large scale system (LSS) model for the gas phase operation in upstream oil and gas plants. The process model consists of the three main gas conditioning processes which exist, in most upstream oil and gas processing plants;these are gas sweetening, gas dehydration, and hydrocarbon dew-pointing,. The function of such a model is to provide a realistic process representation to test and verify different process control approaches, specifically those which deal with highly interactive control loops. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： process Model process control Upstream Oil & Gas

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The Photoinhibistat: Operating Microalgae Culture under Photoinhibition for Strain Selection

The Photoinhibistat: Operating Microalgae Culture under Phot...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Mairet, Francis Bernard, Olivier Inria Biocore BP93 F-06902 Sophia Antipolis France

Microalgae have recently attracted attention for their potential to produce high added compounds, proteins, and even biofuels. Our paper seeks to develop a control strategy for light-imited continuous culture imposing a stress for which microalgae have to adapt. This operating mode - called photoinhibistat - consists, for a culture with a constant dilution rate, in varying the incident light in order to regulate the light at the bottom of the reactor, inducing a light stress. Based on a simple model of light-limited growth, we analyze the dynamics of the photoinhibistat in monoculture and in competition. It appears that the photoinhibistat Can be used to select, from the initial microalgae population, the strain with the highest resistance to photoinhibition. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： process control Biotechnology Nonlinear analysis Microalgae selection

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An Adaptive Non-Linearity Detection Algorithm for process control Loops

An Adaptive Non-Linearity Detection Algorithm for Process Co...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Aftab, Muhammad Faisal Hovd, Morten Huang, Norden E. Sivalingam, Selvanathan NTNU Dept Engn Cybernet Trondheim Norway Natl Cent Univ Res Ctr Adapt Data Anal Taoyuan Taiwan Seimens AG Trondheim Norway

Non-linearities are considered to be a major source of oscillations and poor performance in industrial control systems, as 20-30 % of loops are reported to be oscillating due to valve non-linearities (Srinivasan et al. (2005)). This fact has led to a significant effort aimed at the detection and diagnosis of non-linearities: in particular for valve non-linearities in the control loops. The current paper presents an adaptive algorithm, based On HHT (Hilbert Huang Transform), for non-linearity detection and isolation in process systems. The HHT is an adaptive data analysis technique that is applicable to non-linear and non stationary time series. An index termed the Degree of Non-Linearity (DNL), based on intra-wave frequency modulation, is used to identify the presence of non-linearity in the signal generating system. The proposed method is shown to be more robust, in differentiating between linear and nonlinear causes of oscillations when compared to existing methods, and can handle non-stationary effects. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： control non-linearities adaptive algorithm intra-wave frequency modulation instantaneous frequency

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Mixture Probabilistic PCA for process Monitoring - Collapsed Variational Bayesian Approach

Mixture Probabilistic PCA for Process Monitoring - Collapsed...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Raveendran, Rahul Huang, Biao Univ Alberta Dept Chem & Mat Engn Edmonton AB T6G 2R3 Canada

Mixture of probabilistic principal component analyzers (MPPCA) has been used for modeling non-Gaussian process data and monitoring in the past. However, appropriate model structure selection in the case of MPPCA is a challenging task. Previously, variational Bayesian expectation maximization (VBEM) estimation has been used to handle this task. However, VBEM can be computationally expensive for practical purposes and also, may converge to spurious estimates. In this article, collapsed variational Bayesian technique with a new collapsing scheme as an alternative to VBEM is proposed. Advantages of the proposed scheme are demonstrated in simulated and industrial process data. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Non-Gaussian process monitoring Fault detection Model selection Bayesian estimation Collapsed inference

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