<正>Following the definition of a two bivariate matrix Pade-type(BMPTA) in[13],the least-squares solution to BMPTA is given and its determinantal expressions are *** avoid the computation of determinants,a recursi...
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<正>Following the definition of a two bivariate matrix Pade-type(BMPTA) in[13],the least-squares solution to BMPTA is given and its determinantal expressions are *** avoid the computation of determinants,a recursive algorithm called Sylvester-type algorithm is *** the end the method is applied to partial realization problems of 2-D linear systems.
Different from the extended Euclidean algorithm which can compute directly only the multiplicative inverse of an element in Zm^* and the greatest common divisor of two integers, a recursive algorithm called REESSE is...
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Different from the extended Euclidean algorithm which can compute directly only the multiplicative inverse of an element in Zm^* and the greatest common divisor of two integers, a recursive algorithm called REESSE is designed by the authors, which can not only seek directly the multiplicative inverse and the greatest common divisor, but also solve directly a simple congruence for general solutions. This paper presents the definition and the two valuable properties of a simple congruence, analyzes in detail the reduction and recursion process of solving simple congruences, induces the recursive formula for solving simple congruences, and describes formally and implements in C language the recursive algorithm. At last, the paper compares REESSE with the extended Euclidean algorithm in thought, applicability and time complexity.
This paper describes a new recursive algorithm for the approximation of time-varying nonlinear aerodynamic models by means of a joint adaptive selection of the model structure and parameter estimation. This procedure ...
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This paper describes a new recursive algorithm for the approximation of time-varying nonlinear aerodynamic models by means of a joint adaptive selection of the model structure and parameter estimation. This procedure is called adaptive recursive orthogonal least squares and is an extension and modification of the classical recursive orthogonal least-squares procedure. This algorithm is considered to be particularly useful for indirect fault-tolerant flight control, making use of model-based adaptive control routines. After the failure, a completely new aerodynamic model can be elaborated recursively with respect to structure, as well as parameter values. The performance of the identification algorithm is demonstrated on some simulation data sets.
作者:
Bai, Er-WeiLi, KangUniv Iowa
Dept Elect & Comp Engn Iowa City IA 52242 USA Queens Univ
Sch Elect Elect Engn & Comp Sci Belfast BT9 5AH Antrim North Ireland
The convergence of the iterative identification algorithm for a general Hammerstein system has been an open problem for a long time. In this paper, it is shown that the convergence can be achieved by incorporating a r...
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The convergence of the iterative identification algorithm for a general Hammerstein system has been an open problem for a long time. In this paper, it is shown that the convergence can be achieved by incorporating a regularization procedure on the nonlinearity in addition to a normalization step on the parameters. (C) 2010 Elsevier Ltd. All rights reserved.
A new technique for estimation of the instantaneous frequency based on simultaneous sampling of three-phase voltage signals is presented. The structure consists of two decoupled modules: the first is for adaptive filt...
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A new technique for estimation of the instantaneous frequency based on simultaneous sampling of three-phase voltage signals is presented. The structure consists of two decoupled modules: the first is for adaptive filtering of input signals, and the second is for frequency estimation. A suitable and robust algorithm for frequency estimation is obtained. This technique provides better performance, compared with the technique based on a single-phase signal in relation to waveforms with noise. The technique is particularly important when asymmetric sags generate zero voltage in one of the three phases. In addition, it allows the measurement of the instantaneous frequency value of real signals for single- or three-phase systems. To demonstrate the performance of the developed algorithm, computer-simulated data records and calibrator-generated signals are processed. The proposed algorithm has been put to test with distorted three-phase voltage signals.
Some factories use the cutting and stamping processes to divide stock plates into circles to make products. A guillotine machine cuts the plate into strips in the cutting process and then a stamping press punches out ...
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Some factories use the cutting and stamping processes to divide stock plates into circles to make products. A guillotine machine cuts the plate into strips in the cutting process and then a stamping press punches out circles from the strips in the stamping process. The circles in a strip have the same size. The number of rows of circles in each strip is limited. Under these constraints, this paper addresses the following primary objective: to cut a plate by a guillotine method so that the maximal number of circles is obtained. Then the secondary objective should be optimized: the cutting layout should use a minimal number of strips. The problem is formulated as a bi-objective optimization problem and a recursive algorithm is presented for it. The computational results indicate that the algorithm can efficiently simplify the cutting process.
This paper presents the application of a genetic algorithm to state estimation for systems subject to randomly missing input/output data. By modelling the missing data in inputs and outputs with binomial processes, a ...
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This paper presents the application of a genetic algorithm to state estimation for systems subject to randomly missing input/output data. By modelling the missing data in inputs and outputs with binomial processes, a modified Luenberger observer using the reconstructed data is employed for estimation. The proposed algorithm consists of two procedures: 1) Preprocessing the missing input/output data by reconstruction based on autoregressive (AR) modelling;and 2) implementing the genetic algorithm to perform on-line adaptive state estimation from reconstructed data. The effectiveness of the proposed algorithm is verified by numerical simulation.
Discrete short time Fourier transformation (DSTFT) is a common and effective method in digital signal processing and analysis. In the most applications, amplitude information of Fourier transform is utilized instead o...
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ISBN:
(纸本)9781510811249;1510811249
Discrete short time Fourier transformation (DSTFT) is a common and effective method in digital signal processing and analysis. In the most applications, amplitude information of Fourier transform is utilized instead of phase information. An algorithm based on the sliding DSTFT is presented in this paper. The demodulation of DQPSK signal is achieved using phase information in frequency domain. The principle and process of the algorithm are detail researched. The fast recursive algorithm is given under the two window functions, and the bit error rate (BER) is analyzed. The simulation shows that the DSTFT-based algorithm can get high performance, and facilitate software real-time processing. In the Gaussian white noise channel, when BER is 10 -4 , the performance of the algorithm is nearly 1dB better than the traditional differential detection method.
One of the most powerful functions of Geographic Information System for Transportation (GIS-T) is Dynamic Segmentation (DS), which is used to increase the efficiency and precision of road management by generating segm...
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One of the most powerful functions of Geographic Information System for Transportation (GIS-T) is Dynamic Segmentation (DS), which is used to increase the efficiency and precision of road management by generating segments based on attributes. The road segments describing transportation data are both spatially and temporally referenced. For a variety of transportation applications, historical road segments must be preserved. This study presents an appropriate approach to preserve and retrieve the historical road segments efficiently. In the proposed method, only the portions of segments of a time stamp that have been changed into new segments rather than storing the entire segments for every old time stamp are recorded .The storage of these portions is based on the type of changes. A recursive algorithm is developed to retrieve all segments for every old time stamp. Experimental results using real data of Tehran City, Iran justify the strength of the proposed approach in many aspects. An important achievement of the results is that database volume for 2006, 2007 and 2008 within the Historical Line Event Table (HLET) is reduced by 70%, 80% and 78%, respectively. The proposed method has the potential to prevent from vast data redundancy and the unnecessary storage of entire segments for each time stamp. Since the present technique is performed on ordinary plain tables that are readable by all GIS software, special software platforms to manage the storage and retrieval of historical segments are not needed. In addition, this method simplifies spatio-temporal queries.
A number of measurement algorithms apply orthogonal signal components obtained by two orthogonal finite-impulse-response (FIR) filters. The most significant error in orthogonal FIR digital-filter-based measurement alg...
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A number of measurement algorithms apply orthogonal signal components obtained by two orthogonal finite-impulse-response (FIR) filters. The most significant error in orthogonal FIR digital-filter-based measurement algorithms arises due to the FIR filters having different magnitude gains at frequencies other than the nominal power system frequency. In addition, although the FIR filters show complete rejection of harmonics when the power system frequency is equal to the nominal, this is not the case for other values of the power system frequency. To alleviate this drawback, the filter parameters have to be adapted during frequency estimation. Suitable implementations of adaptive filters that allow closed-form calculation of coefficients, such as cascade FIR comb filters and resonator-based filters, are present in the literature. In this paper, the advantages and pitfalls of these two techniques are addressed with regard to computational complexity, coefficient sensitivity problems, and convergence. As a result, an improved and very suitable combined algorithm based on parallel resonators with common feedback combined with an external FIR comb-filter-based module for frequency estimation that is applied on antialiasing-filtered and decimated input signal is proposed. The obtained simulation results allow us to establish the performance of the proposed algorithm by comparing its measurement precision with the results obtained using fast Fourier transform (FFT) implementations. It has been found that the proposed algorithm is suitable for real-time applications.
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