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LQ control of Lotka-Volterra systems Based on their Locally Linearized Dynamics

IFAC-PapersOnLine 2016年第10期49卷 241-245页

作者： Lipták, Görgy Magyar, Attila Hangos, Katalin M. University of Pannonia Faculty of Information Technology Department of Electrical Engineering and Information Systems H-8200 Egyetem street 10 Veszprém Hungary HAS Computers and Automation Research Institute Process Control Research Group H-1111 Kende street 13-17 Budapest Hungary

This work applies the LQ control framework to the class of quasi-polynomial and Lotka-Volterra systems through the linearized version of their nonlinear system model. The primary aim is to globally stabilize the original system with a suboptimal LQ state feedback by means of a well-known entropy-like Lyapunov function that is related to the diagonal stability of linear systems. This aim can only be reached in the case when the quasi-monomial composition matrix is invertible. In the rank-deficient case only the local stabilization of the system is possible with an LQ controller that is designed using the locally linearized model of the closed-loop system model. © 2016

关键词： System stability Biological systems Closed loop systems Linear matrix inequalities Linear systems Linearization Lyapunov functions Nonlinear systems State feedback Closed loop system modeling Composition matrixes Linearized dynamics Local stabilizations Lotka Volterra systems LQ control Lyapunov stability Nonlinear system modeling

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Nonequilibrium Green's function method for the harmonic oscillator in a heat bath

Nonequilibrium Green's function method for the harmonic osci...

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International Young Scientists Forum on Applied Physics (YSF)

作者： S.I. Pavlik D.I. Kulik Yu.S. Oseledchik Department of Automated Systems of Process Control Zaporizhzhya State Engineering Academy Zaporizhzhya Ukraine

Using the nonequilibrium Green's function method, the problem of thermal relaxation of systems interacting with a heat bath is investigated. We apply this method to the harmonic oscillator interacting with a heat bath which consists of many harmonic oscillators. Using with the Keldysh nonequilibrium Green function technique we derive expressions for the the absorption and emission spectra. We also establish a connection to the the solution of the Heisenberg equation based on a fully quantum-mechanical Hamiltonian.

关键词： Oscillators Green's function methods Heating Harmonic analysis Absorption Mathematical model Physics

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Co-simulation with OPC UA

Co-simulation with OPC UA

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Stephan Hensel Markus Graube Leon Urbas Till Heinzerling Mathias Oppelt Chair for Process Control Systems Engineering Technische Universität Dresden Germany Siemens AG

ISBN: (纸本)9781509028719

engineering projects are driven by cost and time constraints. Furthermore, the increasing complexity of these projects makes it necessary to expose specification, implementation and conceptual errors as early as possible. Therefore, a well-established method is to carry out simulation experiments. This paper presents a concept for coupling already existing (domain-specific) simulation models that allow the integration of individual models in a co-simulation environment. A complete system simulation can take place in this environment. Therefore, the contribution of OPC UA as a generic middleware technology - a candidate for Industrie 4.0 scenarios that is being intensively discussed - is analysed. Through a prototypical implementation based on open62541, we can show a proof of concept by coupling different simulations (SIMIT and FMI instances). It also shows that our concept can be easily extended regarding the integration of new simulators.

关键词： Servers Adaptation models Data models Couplings Standards Registers

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Recall test for keyboard layout

Recall test for keyboard layout

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International Multiconference of Engineers and Computer Scientists 2016, IMECS 2016

作者： Stefanie, X.Q. Kang Tsang, Steve N.H. Chan, Alan H.S. Liu, S.L. School of Management Xi'an Jiao Tong University Key Lab Ministry of Education for Process Control and Efficiency Projects Xi'an710049 China Department of Systems Engineering and Engineering Management City University of Hong Kong Kowloon Tong Kowloon Hong Kong

ISBN: (纸本)9789881404763

In this study, the recall accuracies for different keys on a keyboard were studied and analyzed in a systematic way. It was found that alphabetic keys in the area of "Typing Keys" resulted in relatively lower recall accuracies than "Function Keys", "control Keys" and "Numeric Keys". Besides, there was an absence of significant association between the relative use frequency of English letters and their recall accuracies, confirming to the general expectation that typing tasks rely on the processing of implicit memory rather than explicit memory. Regarding the recall accuracies for numeric keys, participants had higher recall accuracy for the keys located in "Numeric Keypad" than those in the "Typing Key" area. This might be the result of experience transfer from their daily interaction with devices of similar layout (ATM). Some useful suggestions were provided for the design of a more user-friendly keyboard layout.

关键词： Ergonomics

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An alternative for PID control: Predictive Functional control - a tutorial

An alternative for PID control: Predictive Functional Contro...

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American control Conference

作者： R. Haber J.A. Rossiter K. Zabet Laboratory of Process Control Institute of Process Engineering and Plant Design Faculty of Process Engineering Energy and Mechanical Systems Cologne University of Applied Science D-50679 Koln Germany Dept. of Automatic Control and Systems Eng. University of Sheffield S1 3JD UK

ISBN: (纸本)9781467386838

PFC (Predictive Function control) can be considered as a bridge between PI(D) and complex MPC. PI(D) control can have problems handling dead time and constraints. PFC handles these cases and is often better than using a Smith predictor. PFC is a simple realizable MPC which thus uses prediction and preview of key variables. PFC can be implemented via simple program code and thus has cheap license costs. The tutorial introduces the basic idea of PFC and algorithms for typical processes. Simulations illustrate its effectiveness and advantages over PI(D) and Smith predictors.

关键词： process control Mathematical model Trajectory Tuning Robustness Prediction algorithms Predictive models Proportional Integral Derivative control Prediction algorithms process control Prediction models Pelvic Inflammatory Disease trajectory tuning Power factor correction Mathematical Model Smith predictors Proportional derivative control predictive functional control program code Robustness DEAD TIME

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Architectures for integrating functional safety into modular process plants

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IFAC-PapersOnLine 2015年第21期48卷 1321-1326页

作者： Pfeffer, Annett Urbas, Leon Chair of Process Control Systems Engineering Technische Universität Dresden Germany

As an approach to cope with rising volatility of sales markets and increasingly shorter development cycles, process industries are expecting much from the concept of modularization. However, a topic that is still rarely focused in this context is safety. Therefore, this paper is focused on the expected challenges of engineering functional safety including the architectures of safety instrumented systems, and the requirements of modularization. Possible architectures are presented and discussed in relation to the requirements of functional safety in modular process plants. © 2015

关键词： Architecture

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Correction to: Production efficiency of the bacterial non-ribosomal peptide indigoidine relies on the respiratory metabolic state in S. cerevisiae

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Microbial cell factories 2019年第1期18卷 218页

作者： Maren Wehrs Jan-Philip Prahl Jadie Moon Yuchen Li Deepti Tanjore Jay D Keasling Todd Pray Aindrila Mukhopadhyay Biological Systems and Engineering Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Institut für Genetik Technische Universität Braunschweig Brunswick Germany. Joint BioEnergy Institute Lawrence Berkeley National Laboratory Emeryville CA 94608 USA. Advanced Biofuels and Bioproducts Process Development Unit Lawrence Berkeley National Laboratory Emeryville CA 94608 USA. Department of Plant and Microbial Biology University of California Berkeley CA 94720 USA. Department of Bioengineering University of California Berkeley CA 94720 USA. Department of Chemical and Biomolecular Engineering University of California Berkeley CA 94720 USA. The Novo Nordisk Foundation Center for Biosustainability Technical University of Denmark Kongens Lyngby Denmark. Synthetic Biochemistry Center Institute for Synthetic Biology Shenzhen Institutes for Advanced Technologies Shenzhen China. Biological Systems and Engineering Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. amukhopadhyay@lbl.gov. Joint BioEnergy Institute Lawrence Berkeley National Laboratory Emeryville CA 94608 USA. amukhopadhyay@lbl.gov. Environmental Genomics and Systems Biology Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. amukhopadhyay@lbl.gov.

Following publication of the original article [1], the authors have noted that the standard curve in Additional file 1: Figure S7 is incorrect.

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Challenges of the application of data-driven models for the real-time optimization of an industrial air separation plant

Challenges of the application of data-driven models for the ...

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European control Conference

作者： Dionysios P. Xenos Olaf Kahrs Matteo Cicciotti Fernando Moreno Leira Nina F. Thornhill Department of Chemical Engineering Centre for Process Systems Engineering Imperial College London London SW7 2AZ UK Corporate Operational Excellence - Technical Process Optimisation BASF SE 67056 Ludwigshafen Germany Process Control Task Force BASF SE 67056 Ludwigshafen Germany Automation Technology - Advanced Process Control BASF SE 67056 Ludwigshafen Germany

ISBN: (纸本)9781509025923

The optimization of the operation of chemical plants may require the development of mathematical models of the process units of a plant. These mathematical models can be either first-principles or data-driven models. The former type of modeling may be complex for the use in optimization and especially for online applications such as real time optimization. Available measured process data can be used to develop the latter type of modeling. Although data-driven models offer several benefits for online applications, there are some very significant challenges related to their development in a practical industrial implementation. This paper discusses the important aspects of the building of data-driven models and demonstrates the effects of these types of models on the optimization results. The current work demonstrates the application of a real time optimization framework applied to an industrial air compressor station of an air separation plant when the models are based on operating data.

关键词： Challenges application data-driven models

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Analysis of fuzzy cognitive maps from ambiguity and fuzziness perspective

Analysis of fuzzy cognitive maps from ambiguity and fuzzines...

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International Symposium on Computational Intelligence and Informatics

作者： M. Furkan Dodurka Engin Yesil Leon Urbas Getron Corporation New Jersey NJ USA Chair for Process Control Systems Engineering Technische Universität Dresden Germany

ISBN: (纸本)9781509039104

In this study, Fuzzy Cognitive Maps (FCMs), which are powerful tools for graphical representation of knowledge, are analyzed from an ambiguity and fuzziness perspective. In conventional FCMs the causal strengths are represented with singleton (crisp) fuzzy numbers, but recently, other researchers proposed different FCM structures where uniform (interval) or triangular fuzzy numbers are used in causal strength representation. Here, FCMs are analyzed by means of fuzziness and ambiguity measures that are proposed in literature to investigate the capability of models to represent uncertainties. In addition, two new measures, called the average ambiguity measure (AAM) and the average fuzziness measure (AFM), are proposed to indicate uncertainty representation of an FCM. A well-known FCM model of a public health system is used as a case study to show how the fuzzy weights determine the uncertainty representation of FCMs, and then the outcomes are discussed.

关键词： Uncertainty Measurement uncertainty Fuzzy cognitive maps Fuzzy sets Fuzzy systems Inference mechanisms

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A feature-based prediction method for energy consumption of machining process and its application

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IOP Conference Series: Materials Science and engineering 2018年第3期382卷

作者： Wei Yan Hua Zhang Feng Ma Hubei Province Key Laboratory of Systems Science in Metallurgical Process (Wuhan University of Science and Technology) Wuhan 430081 China Green Manufacturing Engineering Institute (Wuhan University of Science and Technology) Wuhan 430081 China Key Laboratory of Metallurgical Equipment and Control Technology (Wuhan University of Science and Technology) Ministry of Education China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering (Wuhan University of Science and Technology) Wuhan 430081 China

Energy consumption prediction for machining process is the basis of the study of energy performance and energy efficiency assessment in manufacturing systems. The existing energy consumption prediction methods for manufacturing process are mainly focused on processing equipment, processing parameters and material. However, part features are also important impact factors for energy consumption of manufacturing process, but these are not studied systematically. In this paper, an energy consumption prediction method based on part feature is proposed. Firstly, the energy consumption of a part feature was analyzed, and an energy consumption model was established based on part multi-features by using matter element theory. Then, a hybrid reasoning method considering case-based reasoning and rule reasoning was studied, and an energy consumption prediction method of manufacturing process was proposed. Finally, a case study of a shaft part was given to verify the effectiveness of the above methods.

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