This paper presents a new tuning method based on model parameters identified in closed-loop. For classical controllers such as PI(D) controllers a large number of simple tuning methods for various application areas ex...
This paper presents a new tuning method based on model parameters identified in closed-loop. For classical controllers such as PI(D) controllers a large number of simple tuning methods for various application areas exist. However, when it comes to designing a generalised predictive controller (GPC) four parameters have to be specified. To choose those parameters is not a trivial task since they are not directly related to control or regulation performance. The presented tuning method exploits model-parameters to select suitable controller parameters. Additionally, a Rhinehart filter is incorporated in the design to decrease the impact of noise, therefore, a fifth parameter has to be optimised. The proposed method has been tested in simulation and on a real system.
High throughput biomaterials screening largely remains unexplored. The present study was an attempt to explore the area of high throughput as well as high content screening of cell surface topographic interaction. An ...
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(纸本)9781618390622
High throughput biomaterials screening largely remains unexplored. The present study was an attempt to explore the area of high throughput as well as high content screening of cell surface topographic interaction. An array of surface topographies called TopoChip was fabricated using a widely used polymer in tissue engineering, Poly (DL-lactic acid). The topographies were subsequently screened for their mitogenic effect on cells. We were able to detect topographic parameters responsible for mitogenic effect of surface topographies.
Among the many reasons for load imbalance in weather forecasting models, the dynamic imbalance caused by localized variations on the state of the atmosphere is the hardest one to handle. As an example, active thunders...
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To extract feature parameters of Pseudo-code binary phase modulation combined with sine frequency modulation continuous wave(PRBC-SFMCW), the linear decomposition techniques using Quadrature Mirror Filter Bank Tree (Q...
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To extract feature parameters of Pseudo-code binary phase modulation combined with sine frequency modulation continuous wave(PRBC-SFMCW), the linear decomposition techniques using Quadrature Mirror Filter Bank Tree (QMFBT) is adopted. With this method, the intercepted signal is decomposed and analyzed by QMFBT. Then according to the feature of PRBC-SFMCW signal contained in different time-frequency layers the algorithm of feature parameter extraction on an appropriate time-frequency layer is presented. The analysis and simulation results show that the SNR of PRBC-SFMCW signal is improved after decomposition. At the same time, the across section disappear and parameters can be estimated accurately in a low SNR condition.
This paper presents a novel method on coloring the grayscale images. For this purpose, a combination of artificial neural networks and some image processing algorithms was developed to transfer colors from a user-sele...
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In this paper, we present the LearnLib, a library of tools for automata learning, which is explicitly designed for the systematic experimental analysis of the profile of available learning algorithms and corresponding...
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Maintainability, extendibility and reusability of components in the design of robot control architectures is a major challenge. Parallel kinematic robots feature a wide variety of structures and applications. They are...
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This paper presents a novel method on coloring the grayscale images. For this purpose, a combination of artificial neural networks and some image processing algorithms was developed to transfer colors from a user-sele...
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This paper presents a novel method on coloring the grayscale images. For this purpose, a combination of artificial neural networks and some image processing algorithms was developed to transfer colors from a user-selected source image to a target grayscale image. According to the results of this combining method, a survey where volunteers were asked to rate the plausibility of the colorings generated automatically was performed for individual images. In most cases automatically-colored images were rated either as totally or mostly acceptable.
Multithreaded Object-Oriented programming in concurrency environment using object-oriented technology is a complex activity. Programmers need to be aware of issues unrelated to their domain of problem, and are often u...
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Multithreaded Object-Oriented programming in concurrency environment using object-oriented technology is a complex activity. Programmers need to be aware of issues unrelated to their domain of problem, and are often unprepared for the challenges of the concurrent object-oriented programming brings. The interaction of their components becomes more complex, and makes it difficult to validate the design and correctness of the implemented program. Supporting separation of concerns in the design and implementation of the multithreaded object-oriented programming can provide a number of benefits such as comprehension, reusability, extensibility and adaptability in both design and implementation. We have tackled this problem by adopting the technique of separation of concerns in multithreaded object-oriented programming. In this paper we demonstrate an aspect-oriented approach that can be used for multithreaded object-oriented programming. We also show how better the separation of concerns in components. Readers/Writers problem is demonstrated using an aspect-oriented approach. Our methodology, which is based on aspect-oriented techniques as well as language and architecture independence, is an aspect-oriented framework.
For understanding the performance differences caused by different computer architectures and optimization technologies, the paper characterizes performance of SPEC CPU2006 benchmarks both on Intel and AMD platform. Us...
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For understanding the performance differences caused by different computer architectures and optimization technologies, the paper characterizes performance of SPEC CPU2006 benchmarks both on Intel and AMD platform. Using the performance events collected by Performance Monitor Unit, we compare their performance differences and analyze the causes from the features of architectures and the optimization technologies. Our results and analysis help the programmers better understand the memory performance and branch prediction performance which are caused by architectures and guide them in the optimization. The analysis also help the processor architects better balance among the key architecture factors such as memory disambiguation and hardware prefetch when doing architecture design decision.
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