In this paper, we propose a fuzzy auto-associative neural network for principal component extraction. The objective function is based on reconstructing the inputs from the corresponding outputs of the auto-associative...
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In this paper, we propose a fuzzy auto-associative neural network for principal component extraction. The objective function is based on reconstructing the inputs from the corresponding outputs of the auto-associative neural network. Unlike the traditional approaches, the proposed criterion is a fuzzy mean squared error, We prove that the proposed objective function is an appropriate fuzzy formulation of auto-associative neural network for principal component extraction. Simulations are given to show the performances of the proposed neural networks in comparison with the existing method.
A simple robust algorithm which efficiently represents signals with a very high amount of noise is presented, according to the expressions for the mean, variance and the optimal window width of the Wigner distribution...
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A simple robust algorithm which efficiently represents signals with a very high amount of noise is presented, according to the expressions for the mean, variance and the optimal window width of the Wigner distribution estimator. Its application in the time-varying filtering is illustrated.
The real-time robust and secure operation of power systems has become a challenging task, as the operating state evolves rapidly due to uncertainties associated with increasing renewable generation, less predictable l...
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The real-time robust and secure operation of power systems has become a challenging task, as the operating state evolves rapidly due to uncertainties associated with increasing renewable generation, less predictable loads, and various forms of contingencies. Therefore, an online voltage stability assessment is required to avoid any undesirable system behaviours or a large-scale blackout. Such evaluation is not just difficult but also computationally intensive mainly due to the continuously changing state of a grid. This study presents a numerically robust and fast algorithm for online voltage stability assessment with ease of implementation and programming. The proposed approach updates distance of voltage collapse in real-time by incorporating base-case collapse point solution and incoming data from measurement devices. Implementation of the proposed algorithm is described in detail, and its performance is validated on different IEEE test cases.
Faults and switching operations often cause step changes in voltage and current waveforms. A fault/switching transient synchrophasor is computed over a window of pre- and post-fault/switching samples. Many synchrophas...
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Faults and switching operations often cause step changes in voltage and current waveforms. A fault/switching transient synchrophasor is computed over a window of pre- and post-fault/switching samples. Many synchrophasor applications are not designed to use these transient synchrophasors. So, there is a need to detect fault/switching transient synchrophasors. A robust algorithm is proposed to detect synchrophasors computed over switching/fault transients. The proposed algorithm runs in phasor measurement unit. The proposed algorithm performs satisfactorily in the presence of noises, harmonics, off nominal frequencies, decaying DC and missing/bad samples. The proposed algorithm can detect fault/switching transient synchrophasors caused by smaller or larger disturbances. The proposed algorithm is simple, non-iterative and mainly needs additions. Possible applications of the proposed algorithm are also discussed.
A robust Capon-type algorithm is constructed for source localization by a partially calibrated array operating in an uncertain environment. Results of statistical modeling are presented to determine the accuracy of so...
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A robust Capon-type algorithm is constructed for source localization by a partially calibrated array operating in an uncertain environment. Results of statistical modeling are presented to determine the accuracy of source localization and the probability of correct source detection. Experimental testing of the proposed method is carried out to demonstrate its performance in Ladoga Lake.
A study considers the fundamental problem of circular orbit phasing by performing a multiple-impulse maneuver. It is shown below that the peculiar properties of the considered problem allow a simpler procedure of find...
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A study considers the fundamental problem of circular orbit phasing by performing a multiple-impulse maneuver. It is shown below that the peculiar properties of the considered problem allow a simpler procedure of finding the globally optimal solution. It appears to be composed of two- and four-impulse maneuvers and switches between them as the phasing maneuver duration grows. Two-impulse maneuvers do not require any optimization, as they are unambiguously calculated as least-delta-v solutions to the multiple-revolution Lambert problem.
The paper describes the robust algorithm for compensation of mismatched disturbances. The synthesis of control system based on a backstepping algorithm and an auxiliary loop algorithm. The proposed algorithm guarantee...
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The problem of guiding a rocket-powered vehicle to land on a planet (or the Moon) with pinpoint precision and minimum propellant usage is the focus of this work. Three related but different versions of optimal powered...
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The problem of guiding a rocket-powered vehicle to land on a planet (or the Moon) with pinpoint precision and minimum propellant usage is the focus of this work. Three related but different versions of optimal powered descent problems are formulated with different intended purposes. Comparison and relationships among the solutions to these problems are analyzed. A theoretical investigation reveals the detailed structure of the optimal thrust magnitude profile in the problems and helps significantly simplify the design of the guidance algorithm. An indirect-method-based fast and robust algorithm is developed to solve these problems. Another unique contribution of this paper is a novel and simple strategy to adaptively determine onboard a desirable powered descent initiation condition so that no major divert is required of the powered descent trajectory. The algorithm is demonstrated in closed-loop simulations for a human Mars mission where a significantly heavier landing mass and more stringent landing precision are required than in any robotic missions thus far.
Compositional data consist of vectors of positive values summing up to a unit or to some fixed constant. They find application in chemometrics, geology, economics, psychometrics and many other field of studies. In sta...
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Compositional data consist of vectors of positive values summing up to a unit or to some fixed constant. They find application in chemometrics, geology, economics, psychometrics and many other field of studies. In statistical analysis many theoretical efforts have been dedicated to identify procedures able to accomodate outliers included in the estimation of the model even in compositional data. The principal purpose of this work is to introduce an alternative robust procedure, defined as COMCoDa, capable to cope with compositional outliers and based on median absolute deviation (MAD) and correlation median. The new method is first evaluated in a simulation study and then on real data sets. The algorithm requires considerably less computational time than other procedures already existing in literature, it works well for huge compositional data sets at any level of contamination.
We propose a new robust algorithm for Boolean operations on solid models. The algorithm produces a consistent intersection graph between two input solids whose geometrical data are represented in floating point number...
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We propose a new robust algorithm for Boolean operations on solid models. The algorithm produces a consistent intersection graph between two input solids whose geometrical data are represented in floating point numbers. In order to prevent numerical calculation errors and inaccuracy of input data from causing inconsistency of the output, we put higher priority on symbolical connectivity of the edge-face intersection points than their numerical nearness. Each edge-face intersection point is symbolically represented using face names, which generate connectivity relations between the intersection points and the intersection line segments. The symbols with the same connectivity are made into clusters. The intersection line segments connected together at their end clusters form the intersection graph of two solids. Inconsistency of the connectivity of the clusters is detected and the intersection graph is corrected automatically. We describe the algorithm in detail for polyhedral solids, discuss extension to curved solids, and show its effectiveness by some examples of Boolean operations for two solids whose faces intersect at a very small angle.
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