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IEEE International Conference on Intelligent engineering Systems (INES)

作者： Ivars Karpics Institute of computer control automation and computer engineering Faculty of computer science and information technology Riga Technical University Riga Latvia

In the article a therapy selection method by using topological modelling and multi- objective optimization is presented. In a medicine practice a doctor by taking into the count patients' health state and laboratory results, tries to suggest a treatment strategy, which mostly is a drug therapy. To solve this task a decision support system has been developed and proposed. The system includes a mathematical model of three self connected diseases. Therapies are evaluated by five efficiency objectives. To find the optimal therapy, seven multi- objective methods are selected and used. Optimization methods form decision support module which is implemented in the medical computer system. To evaluate a performance of the system, test examples are analysed. Conclusion includes the summary and proposals of further research.

关键词： Mathematical model Drugs Optimization methods Computers

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Gradient Method Optimization of Penicillin Production

Gradient Method Optimization of Penicillin Production

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第24届中国控制与决策会议

作者： Matej Polka Sergej elikovsky Department of Control Engineering Faculty of Electrical Engineering Czech Technical University in PragueCzech Republic Institute of Information Theory and Automation Prague Czech Republic

A fermentation process is generally defined as a biological process containing the growth of the biomass (bacteria, yeasts) resulting from the consumption of essential substrate supplies (source of carbon, nitrogen, oxygen, etc.). The biomass growth is usually followed by the production of various products from which especially the variety of antibiotics makes the fermentation processes attractive for the industrial utilization. However, the complicated dynamics, high level of uncertainty and nonlinearity and difficult online measurement of the process variables come hand in hand with the attractivity and turn the attempts on optimal control of the fermentation process into a very delicate challenge. To tackle it, the theory of the gradient projection method has been partially adapted and fully implemented by the authors of this paper. Numerical experiments show its significantly better performance than for other known methods. Moreover, these experiments reveal an interesting "superprofile" visible for long cultivation times.

关键词： Fermentation process, penicillin, gradient method, optimization

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Discrete-to-continuous dynamics reconstruction for bilinear systems

Discrete-to-continuous dynamics reconstruction for bilinear ...

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IEEE Conference on Decision and control

作者： Philipp Rumschinski Dina Shona Laila Rolf Findeisen Institute for Automation Engineering System and Control Laboratory Otto-von-Guericke University of Magdeburg Magdeburg Germany Faculty of Engineering and the Environment University of Southampton UK

In this work, we study the reconstruction of continuous-time models from discrete-time models of bilinear systems. Many dynamical systems contain nonlinearities and evolve continuously in time. However, due to the use of digital sensors for data acquisition, system identification methods typically rely on sampled data and yield a discrete-time model. Linking such a discrete-time model to its equivalent continuous-time dynamics is nontrivial. This paper proposes a discrete-to-continuous dynamics reconstruction for discrete-time models of a class of bilinear systems obtained by system identification. We show that for bilinear systems we can obtain a discrete-time model that is consistent with the measurement data. Furthermore, we show that one can derive from the discrete-time model, its equivalent continuous-time model. Two examples illustrate the approach.

关键词： Nonlinear systems Parameter estimation Data models Linear systems Numerical models Vectors Time measurement

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Gradient method optimization of penicillin production

Gradient method optimization of penicillin production

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Chinese control and Decision Conference, CCDC

作者： Matej Pčolka Sergej Čelikovský Department of Control Engineering Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Institute of Information Theory and Automation AS CR Prague Czech Republic

关键词： Substrates Gradient methods Mathematical model Biomass Production Biological system modeling

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Development of fuzzy logic water bath temperature controller using MATLAB

Development of fuzzy logic water bath temperature controller...

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2012 IEEE International Conference on control System, Computing and engineering, ICCSCE 2012

作者： Hasim, Norhaslinda Aras, Mohd Shahrieel Mohd Rashid, Mohd Zamzuri Ab Kassim, Anuar Mohamed Abdullah, Shahrum Shah Department of Control and Automation Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia Department of Mechatronics Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia Department of Electric and Electronics Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia

ISBN: (纸本)9781467331432

In this paper, the development of a water bath temperature system to control the liquid's temperature in the water bath will be presented. In order to develop the water bath temperature control system, MATLAB fuzzy logic toolbox will be utilized. The Fuzzy Logic controller (FLC) is designed to control water temperature based on the input acquired from the thermal transducer sensor. The inference engines that are used are;Max-min (Mamdani) method and centre of gravity technique for defuzzification. The 4 × 4 matrix rules for the controller will be used in this project. In addition, the USB NI-DAQ card will be used as xPC target to link the MATLAB software and real time application. The real time output temperature is validated based on the simulation's temperature which is initially set by user. It can be concluded the performance of real time study is in par with the simulation result. © 2012 IEEE.

关键词： MATLAB

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A LabVIEW-Based Simulator for the Activated Sludge Process

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IFAC Proceedings Volumes 2012年第2期45卷 942-947页

作者： Norhaliza Abdul Wahab Muhammad Sani Gaya Yahaya Md Sam Ulf Jeppsson Reza Katebi Control and Instrumentation Department Faculty of Electrical Engineering Universiti Teknologi MalaysiaUTM Skudai 81310 Johor Malaysia (Tel:+607-5535418) Div of Industrial Electrical Engineering and Automation (IEA) Dept of Measurement Technology and Industrial Electrical Engineering (MIE) Lund University Industrial Control Centre Dept of Electronic and Electrical Engineering University of Strathclyde Glasgow UK

Abstract The activated sludge process is the main process in most urban wastewater treatment systems. It is considered complex in nature, and building its mathematical model in practice becomes difficult. A simple and easy way to build the simulation models for the system is needed. In this paper, a LabVIEW based simulator for the system is presented. LabVIEW offers a highly efficient, simple and flexible platform for simulation and control. Building applications in LabVIEW require less coding, and debugging is easy and fast. The proposed simulator utilizes the Benchmark Simulation Model no.1 (BSM 1) for the biochemical reactor and clarification processes. The operation of the simulator is via a graphical user interface (GUI) built in the LabVIEW environment. The simulation results can be displayed in digital and graphical forms. Simulation results obtained were compared with the results from other software simulation packages in which the COST/IWA Simulation Benchmark has been implemented. The developed simulator is very useful due to its efficiency and accuracy in simulating the wastewater process model. The simulator can serve as a training tool for plant operators/students to provide them with better knowledge and understanding of the process.

关键词： Simulator LabVIEW Activated Sludge Process Wastewater Treatment Plant Simulation Benchmark

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Semantic Runtime Interface Description Based on engineering Knowledge

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IFAC Proceedings Volumes 2012年第6期45卷 805-810页

作者： Petr Novák Martin Melik-Merkumians Michael Steinegger Thomas Moser Radek Ŝindelář Alois Zoitl Christian Doppler Laboratory for Software Engineering Integration for Flexible Automation Systems Vienna University of Technology AT-1040 Vienna Austria Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague 121 35 Prague Czech Republic Automation and Control Institute Vienna University of Technology AT-1040 Vienna Austria

Design and integration of industrial automation systems require cooperation of different engineering disciplines and various engineering tools during both design and run time. The scope of this paper is to bridge the gap between design-time description and runtime integration in a semi-automated way. Furthermore, we address the problem of integrating legacy systems with no access to original engineering data. It is assumed that an interface between a real industrial system and software automation tools is OPC Unified Architecture (UA) and we propose to derive the plant knowledge from the OPC UA tag list. Since it is not possible to solve this task in general, we require the tag list to adopt the naming convention of IEC 81346, which is widespread in large-scale systems. This tag list is parsed and the engineering knowledge is derived and stored in the engineering Knowledge Base. Consequently, the plant knowledge is mapped to knowledge related to software automation tools, such as simulators. The proposed methodology is evaluated on a real-life example dealing with a laboratory tank model.

关键词： automation Integration Knowledge-based systems Data acquisition OPC UA IEC 81346 Computer Simulation Software tools

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A stochastic state prediction in AFM based nanomanipulation

A stochastic state prediction in AFM based nanomanipulation

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2012 9th IEEE International Conference on Mechatronics and automation, ICMA 2012

作者： Wang, Zhiyu Liu, Lianqing Wang, Zhidong Dong, Zaili Yuan, Shuai Hou, Jing State Key Laboratory of Robotics Shenyang Institute of Automation CAS Shenyang 110016 China Faculty of Electrical and Control Engineering Liaoning Technical University Huludao 125105 China Dept. of Advanced Robotics Chiba Institute of Technology Chiba Japan Graduate School Chinese Academy of Sciences Beijing 100001 China

ISBN: (纸本)9781467312776

The reliability of AFM based nanomanipulation is one of the prerequisites for nano fabricating, thus uncertainties of the target nano-particle position need to be controlled within a pointed limits, which lead to two problem to be solved: one is how to describe state uncertainties at every different sample times;the other is how to deduce the next state uncertainty according to the current one. This paper provides a method to construct a stochastic predictive model to covering those problems. In the concrete, the predictive model uses Gaussian and Beta distribution as well as Mont Carlo Method to describe and deduce the state uncertainties respectively. The method is also applied to the process of pushing a nano-particle using AFM. © 2012 IEEE.

关键词： Stochastic systems

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A ring for description and control of time-delay systems

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WSEAS Transactions on Systems 2012年第10期11卷 571-585页

作者： Pekar, Libor Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlin nam. T. G. Masaryka 5555 76001 Zlin Czech Republic

This contribution aims a revision and extension of the ring of retarded quasipolynomial meromorphic functions (RMS) for description and control of time-delay systems (TDS). The original definition has some significant drawbacks - especially, it does not constitute a ring. Our new definition extends the usability to neutral TDS and to those with distributed delays. As first, basic algebraic notions useful for this paper are introduced. A concise overview of algebraic methods for TDS follows. The original and the revised definitions of the ring together with some its properties finish the contribution. There are many illustrative examples that explain introduced terms and findings throughout the paper.

关键词： Delay control systems

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An introduction to the special issue on time delay systems: Modelling, identification, stability, control and applications

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WSEAS Transactions on Systems 2012年第10期11卷 539-540页

作者： Pekař, Libor Neri, Filippo Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlín Zlín Czech Republic Department of Computer Science University of Naples Federico II Naples Italy

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