This paper presents the combination of two distinct model driven HMI engineering approaches. Together they setup a complete toolchain that lays the basis for the model driven (semi)automatic generation of flexible, mu...
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This paper presents the combination of two distinct model driven HMI engineering approaches. Together they setup a complete toolchain that lays the basis for the model driven (semi)automatic generation of flexible, multi-platform HMIs for process industries. The two approaches are autoHMI which derives a concrete UI design from Computer Aided engineering Data, and XVCML which allows to generate final UIs for different web implementation paradigms like XHTML or Java on top of OPC UA. This tool integration provides a complete model driven software engineering architecture that cuts down the manual efforts in HMI engineering close to zero. This is a prerequisite to handle the complexity of context adaptive interfaces.
In this paper, learning of the FCMs represented using triangular fuzzy numbers (TFNs) in their weight matrices is studied. For this aim a population based novel learning approach is proposed. In the proposed algorithm...
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ISBN:
(纸本)9781467374293
In this paper, learning of the FCMs represented using triangular fuzzy numbers (TFNs) in their weight matrices is studied. For this aim a population based novel learning approach is proposed. In the proposed algorithm, BB-BC optimization method is preferred because of its fast convergence capability. Moreover, this proposed approach involves concept by concept (CbC) learning to increase the accuracy of the learning of FCMs. Two different tests are realized as case studies for investigating the performance of the learning approach. For the first test, the learning capability of the algorithm is examined and for the second test the performance of generalization capability is investigated. The tests, which are presented via tables and figures, show that learning approach is successful for learning of FCMs with TFNs. Furthermore, from the case study it can be seen that the uncertain information can be represented and interpreted by the proposed FCM design methodology in a more efficient way.
Modular multilevel converters are being researched more and more due to the large number of possible applications. In addition to physical experiments, simulations also provide important insights. To make this possibl...
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This paper represents using Case-Based Reasoning (CBR) in order to support undergraduate controlengineering students for learning nonlinear systems and control applications. CBR is an experience-based problem solving...
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This paper represents using Case-Based Reasoning (CBR) in order to support undergraduate controlengineering students for learning nonlinear systems and control applications. CBR is an experience-based problem solving methodology; thus, it is used for helping controlengineering students to design conventional PID controllers for nonlinear systems. For this purpose, GUNT pH neutralization process is used as the experimental setup and a GUI is designed for cased-based reasoning in MATLAB. It is observed that undergraduate students can learn and increase their experience on nonlinear systems using the proposed new CBR-GUI.
We develop a new software layer called the Automatic Parallel Detection Layer (APDL) for the automatic transformation from sequential to parallel code. The main interest, in this research, is the parallelism at loop l...
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We develop a new software layer called the Automatic Parallel Detection Layer (APDL) for the automatic transformation from sequential to parallel code. The main interest, in this research, is the parallelism at loop level, because significant parallelism in programs almost invariably occurs in loops. The proposed APDL has five processes for code transformation: the sequential source code parser, data dependence analysis of this code, partitioning, scheduling both task and data, and generating parallel source code. Many cases have been studied to evaluate the performance of the developed layer. The performance is evaluated depending on the execution time of: the sequential code, the parallel programmer code, and the code output from APDL for the same case study. Performance results show that APDL greatly improves the execution time with respect to sequential execution time, and saves on the high cost of a parallel programmer.
作者:
ISAACS, STHOMA, MMUNACK, AInstitut für Regelungstechnik
Universität Hannover Appelstr. 11 D-3000 Hannover Federal Republic of Germany Steven Isaacs:received a Bachelor of Science degree from MIT in 1976 and a Master of Science degree from the University of California at Berkeley in 1978
both in chemical engineering. He has been employed by the IBM Corporation in San Jose California and was a member of the engineering staff at the Solar Energy Research Institute in Golden Colorado in the area of Biofuels. Since 1985 he has been employed at the Institute for Automatic Control at the University of Hannover. West Germany where he is working toward a PhD degree in the control of biological processes Axel Munack:received an electrical engineering degree in 1974 and a doctoral degree in control engineering in 1980
both from the University of Hannover. From 1974 to 1985 he was employed at the Institute for Automatic Control at the University of Hannover and since summer 1985 he has been a professor at the Technical University of Hamburg-Harburg. His main areas of scientific interest are distributed parameter systems from the theoretical side and with regard to applications modeling optimization and control of biotechnical processes Technische Universität Hamburg-Harburg
Arbeitsbereich Regelungstechnik EiBendorfer Str. 38 2100 Hamburg 90 Federal Republic of West Germany Manfred Thoma:received the Dipl.-Ing. in electrical engineering and the Dr.-Ing. degree from the University of Darmstadt in 1957 and 1963
respectively. He held teaching and research positions at Darmstadt University and was a visiting professor at Purdue University Lafayette Indiana. Since 1967 he has been Professor of the Chair of Automatic Control at Hannover University. In addition he spent three months during 1977 as visiting professor at Kyoto University Japan. Professor Thoma has been with International Federation of Automatic Control since 1972 in different capacities. He is Past President of IFAC. He is a member of a number of scientific and professi
The orthogonal collocation method of approximation is applied to the differential equations describing the oxygen concentration profiles in the liquid and gas phases of the tower loop airlift reactor. This provides a ...
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The orthogonal collocation method of approximation is applied to the differential equations describing the oxygen concentration profiles in the liquid and gas phases of the tower loop airlift reactor. This provides a relatively quick simulation method that can be used for the parameter identification and control optimization tasks of the Open Loop Feedback Optimal (OLFO) adaptive control algorithm. Results of simulated cell mass fermentations are compared to that of a slower, more accurate finite difference simulation method showing the effects of collocation order on approximation accuracy and computation time. An example of parameter identification of the spatially dependent oxygen mass transfer coefficient and the overall growth rate is provided. Also, an example is included showing the optimization of air feed rate policy over the course of a fermentation.
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