The authors present a study of the finite word length (FWL) implementation for digital controller structures with sparseness consideration. A closed-loop stability related measure is derived, taking into account the n...
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The authors present a study of the finite word length (FWL) implementation for digital controller structures with sparseness consideration. A closed-loop stability related measure is derived, taking into account the number of trivial elements in a controller realisation. A practical design procedure is presented, which first obtains a controller realisation that maximises a lower bound of the proposed measure, and then uses a stepwise algorithm to make the realisation sparse. Simulation results show that the proposed design procedure yields computationally efficient controller realisations with an enhanced FWL closed-loop stability performance.
This paper presents a new structure for the software elements used at the distribution control center. The proposed software structure is modular in nature and permits the development of the distribution automation sy...
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This paper presents a new structure for the software elements used at the distribution control center. The proposed software structure is modular in nature and permits the development of the distribution automation system in a phased manner by the different vendors. It has been successfully implemented in an actual 33/11 kV substation.
In this contribution, a genetic programming based technique, which combines the ability of genetic programming to explore both automatically and effectively, the whole set of candidate model structures and the robustn...
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In this contribution, a genetic programming based technique, which combines the ability of genetic programming to explore both automatically and effectively, the whole set of candidate model structures and the robustness of evolutionary multimodel partitioning filters, is presented. The method is applied to the nonlinear system identification problem of complex biomedical data. Simulation results show that the algorithm identifies the true model and the true values of the unknown parameters for each different model structure, thus assisting the genetic programming technique to converge more quickly to the (near) optimal model structure. The method has all the known advantages of the evolutionary multimodel partitioning filters, that is, it is not restricted to the Gaussian case, it is applicable to online/adaptive operation and is computationally efficient. Furthermore, it can be realized in a parallel processing fashion, a fact, which makes it amenable to VLSI implementation.
RF passive devices, such as transmission lines, inductors, antennas and band-pass filters, fabricated on Si substrates, show performance close to that obtained by E-M simulations, from 1 to 110 GHz. This was achieved ...
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ISBN:
(纸本)0780377273
RF passive devices, such as transmission lines, inductors, antennas and band-pass filters, fabricated on Si substrates, show performance close to that obtained by E-M simulations, from 1 to 110 GHz. This was achieved using an optimized /spl sim/4 MeV proton implantation process performed after device fabrication to avoid contamination and can be masked by photoresist.
The application of principal component analysis and cluster analysis (PCA-CA) using heart rate variability (HRV) parameters to identify the most severe chronic obstructive pulmonary disease (COPD) subjects in a mixtur...
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The application of principal component analysis and cluster analysis (PCA-CA) using heart rate variability (HRV) parameters to identify the most severe chronic obstructive pulmonary disease (COPD) subjects in a mixture of normal and COPD population is discussed. These parameters were obtained from real physiological data and cross-spectral analysis (i.e. the coherence and partial coherence between heart rate, blood pressure and respiration signals). Results demonstrated that these two groups could be differentiated with greater than 99.0% accuracy. Furthermore, differences on the same HRV parameters between all four severity levels of COPD subjects were also investigated. These groups were differentiated with over 88.0% accuracy. In analyzing the studied data of the COPD population, the technique correctly characterized 8.5% of COPD group as severe COPD. It was concluded that the PCA-CA technique identified the combination of parameters that can classify disease severity (COPD) as well as differences between normal and COPD subjects in a mixed population. The PCA-CA technique could perhaps also be used to classify other diseases non-invasively.
This paper proposes a novel control method for the multiphase voltage regulators (VRs) to power the next generation of microprocessors. With a simple structure, this control can achieve multiphase current sharing, ver...
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This paper proposes a novel control method for the multiphase voltage regulators (VRs) to power the next generation of microprocessors. With a simple structure, this control can achieve multiphase current sharing, very fast transient response, and adaptive output voltage regulation. Simulation and experimental results show that the proposed control scheme significantly improves the performance, as compared with existing control methods.
The use of Collaborative Virtual Environments in e-learning is one of the most promising uses of the virtual reality technology. While a lot of research has been done in the area of collaborative virtual environments ...
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In many applications the image registration task turns out to be a fundamental prerequisite for any further processing and analysis. In the proposed paper a new efficient technique is presented, appropriate for regist...
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Nature has wide latitude to select among messenger RNA (mRNA) sequences which are informationally equivalent, but structurally and energetically divergent. In this work, an attempt is made to explore how nature takes ...
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ISBN:
(纸本)9781581134988
Nature has wide latitude to select among messenger RNA (mRNA) sequences which are informationally equivalent, but structurally and energetically divergent. In this work, an attempt is made to explore how nature takes advantage of this freedom, and how to algorithmically design structures more energetically favorable than have been built through natural selection. Experimental results are discussed, placing the high/low stability sequences in context with both wildtype and random encodings.
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