This paper highlights the differences between a simple sensorless method and an adaptive flux and speed observer for a five-phase induction motor control. The drive is controlled using space vector modulation direct t...
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ISBN:
(纸本)9781467303408;9781467303422
This paper highlights the differences between a simple sensorless method and an adaptive flux and speed observer for a five-phase induction motor control. The drive is controlled using space vector modulation direct torque control (DTC- SVM) approach. The power measurement used for speed computation is simple, with a minimum processor time and memory, and relatively robust against parameters variation when compared with the adaptive observer based approach. Simulation verification and real time implementation are presented in the paper.
A novel subspace learning algorithm named neighborhood discriminant nearest feature line analysis (NDNFLA) is proposed in this paper. NDNFLA aims to find the discriminant feature of samples by maximizing the between-c...
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This study employs relational analysis and the GreyART network to identify the characteristics of electroencephalogram signals of sleep apnea syndrome (SAS). Seventeen raw electroencephalogram data from the sleep data...
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This article deals with methods research for synchronization pulses utilization provided by some GPS units for measurement synchronization. Initially there are problems of GPS described. Further there are drawn out re...
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ISBN:
(纸本)9781618040343
This article deals with methods research for synchronization pulses utilization provided by some GPS units for measurement synchronization. Initially there are problems of GPS described. Further there are drawn out realized prototypes of measurement systems based on microcontrollers where is expected milliseconds measurement accuracy followed by description GPS synchronized time source implementation in logic gate arrays (FPGA), which allows accurate measurement of microseconds and better. This article describes the theoretical premises and selected measured properties of realized solutions. In conclusion there are prepared experiments described which should be realized during research of this issue.
This paper studies the stability of Kalman filtering over a network subject to random packet losses, which are modeled by a time-homogeneous ergodic Markov process. For second-order systems, necessary and sufficient c...
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In this paper, we study marginal problems for a class of binary pairwise Gibbs random fields (BPW-GRFs). Given a BPW-GRF associated with a family of binary positive pairwise potentials, finding the exact marginal for ...
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Excessive gestational weight gain (GWG) represents a major public health concern. In this paper, we present a dynamical systems model that describes how a behavioral intervention can influence weight gain during pregn...
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ISBN:
(纸本)9781457710957
Excessive gestational weight gain (GWG) represents a major public health concern. In this paper, we present a dynamical systems model that describes how a behavioral intervention can influence weight gain during pregnancy. The model relies on the integration of a mechanistic energy balance with a dynamical behavioral model. The behavioral model incorporates some well-accepted concepts from psychology: the Theory of Planned Behavior (TPB) and the principle of self-regulation which describes how internal processes within the individual can serve to reinforce the positive outcomes of an intervention. A hypothetical case study is presented to illustrate the basic workings of the model and demonstrate how the proper design of the intervention can counteract natural trends towards declines in healthy eating and reduced physical activity during the course of pregnancy. The model can be used by behavioral scientists to evaluate decision rules for adaptive time-varying behavioral interventions, or as the open-loop model for hybrid model predictive control algorithms acting as decision frameworks for such interventions.
Recently, Gutiérrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices - spiking neural P systems (for short, SN P systems). However, the binary...
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In proteomics 2-dimensional SDS-polyacrylamide gel electrophoresis (2D-PAGE) is the most widely used method for analyzing protein mixtures qualitatively. There are, however, a lot of noise and measurement biases which...
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ISBN:
(纸本)9789604742813
In proteomics 2-dimensional SDS-polyacrylamide gel electrophoresis (2D-PAGE) is the most widely used method for analyzing protein mixtures qualitatively. There are, however, a lot of noise and measurement biases which needs to be accounted for both in the localization of spots as well as in the quantitative measurement of protein expression. Previous techniques for denoising 2D gels are based on thresholding, smoothing and spot recognition. Wavelet transformations have also been applied to denoise 2D gels, however these techniques are typically in the frequency domain and they tend to shift spots slightly. In this paper, we improve the protein spot detection process by wavelet de-noising based on genetic algorithm.
In this paper, we study the distributed containment control problem for networked Lagrangian systems with multiple stationary or dynamic leaders in the presence of parametric uncertainties under a directed graph that ...
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