Wide area measurement is significant for modernized control of power system. Phasor measurement unit (PMU) being the prime element for wide area measurement system (WAMS), it provides proper feedback to the closed loo...
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ISBN:
(纸本)9781509000357
Wide area measurement is significant for modernized control of power system. Phasor measurement unit (PMU) being the prime element for wide area measurement system (WAMS), it provides proper feedback to the closed looped controller to take proper steps during power system transients. This paper aims to measure the state of six bus power system in off-nominal frequency condition. To achieve this firstly a three phase PMU is simulated using recursive algorithm and then the algorithm is made frequency adaptive by re-sampling. Pseudo measurement using ABCD parameter is also proposed and implemented.
It is proposed the recursive generator of complex samples of the linear chirp. The generator is characterized by minimum possible memory size and the minimum time of tuning.
ISBN:
(纸本)9781509022212
It is proposed the recursive generator of complex samples of the linear chirp. The generator is characterized by minimum possible memory size and the minimum time of tuning.
A new algorithm for robust adaptive beamforming is designed in this paper. It is assumed that steering vector is mismatches due to propagation effects, array calibration errors, etc. The proposed algorithm is based on...
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ISBN:
(纸本)9781467350501
A new algorithm for robust adaptive beamforming is designed in this paper. It is assumed that steering vector is mismatches due to propagation effects, array calibration errors, etc. The proposed algorithm is based on recursive updating of sample covariance matrix and adaptive diagonal loading. New implementation of robust Capon beamformer (RCB) is more robustness to non-stationary interference environment. Simulation results confirm efficiency of recursive robust adaptive beamformer.
This work presents a systematic method for the dynamic modeling of flexible multiple links that are confined within a closed environment. The behavior of such a system can be completely formulated by two different mat...
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This work presents a systematic method for the dynamic modeling of flexible multiple links that are confined within a closed environment. The behavior of such a system can be completely formulated by two different mathematical models. Highly coupled differential equations are employed to model the confined multilink system when it has no impact with the surrounding walls;and algebraic equations are exploited whenever this open kinematic chain system collides with the confining surfaces. Here, to avoid using the 4 x 4 transformation matrices, which suffers from high computational complexities for deriving the governing equations of flexible multiple links, 3 x 3 rotational matrices based on the recursive Gibbs-Appell formulation has been utilized. In fact, the main aspect of this paper is the automatic approach, which is used to switch from the differential equations to the algebraic equations when this multilink chain collides with the surrounding walls. In this study, the flexible links are modeled according to the Euler-Bernoulli beam theory (EBBT) and the assumed mode method. Moreover, in deriving the motion equations, the manipulators are not limited to have only planar motions. In fact, for systematic modeling of the motion of a multiflexible-link system in 3D space, two imaginary links are added to the n real links of a manipulator in order to model the spatial rotations of the system. Finally, two case studies are simulated to demonstrate the correctness of the proposed approach.
A simple and straightforward fast iterative method is presented for computing the inverse and determinant of any square matrix by successively applying order condensation and order expansion in an iterative process. A...
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A simple and straightforward fast iterative method is presented for computing the inverse and determinant of any square matrix by successively applying order condensation and order expansion in an iterative process. Applying the optimal iteration process, which comprises only some 20 lines of the MATLAB source code (using only simple elementary arithmetical operations), the inverse matrix can be computed within minutes from any given square matrix, even of relatively large size (such as 999), with real or complex entries, and irrespective of whether the matrix is singular or nonsingular.
In this paper we derive the stochastic differentials of the conditional central moments of the nonlinear filtering problems, especially those of the polynomial filtering problem, and develop a novel suboptimal method ...
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In this paper we derive the stochastic differentials of the conditional central moments of the nonlinear filtering problems, especially those of the polynomial filtering problem, and develop a novel suboptimal method by solving this evolution equation. The basic idea is to augment the state of the original nonlinear system by including the original states' conditional central moments such that the augmented states form a so-called bilinear system after truncating. During our derivation, it is clear to see that the stochastic differentials of the conditional central moments of the linear filtering problem (i.e., f, g and h are all at most degree one polynomials) form a closed system automatically without truncation. This gives one reason for the existence of optimal filtering for linear problems. On the contrary, the conditional central moments form an infinite dimensional system, in general. To reduce it to a closed-form, we let all the high enough central moments to be zero, as one did in the Carleman approach (Germani et al., 2007). Consequently, a novel suboptimal method is developed by dealing with the bilinear system. Numerical simulation is performed for the cubic sensor problem to illustrate the accuracy and numerical stability. (C) 2015 Elsevier Ltd. All rights reserved.
This work focuses on numerical algorithms for approximating the ergodic means for suitable functions of solutions to stochastic differential equations with Markov regime switching. Our main effort is devoted to obtain...
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This work focuses on numerical algorithms for approximating the ergodic means for suitable functions of solutions to stochastic differential equations with Markov regime switching. Our main effort is devoted to obtaining the convergence and rates of convergence of the approximation algorithms. The study is carried out by obtaining laws of large numbers and laws of iterated logarithms for numerical approximation to long-run averages of suitable functions of solutions to switching diffusions. (C) 2015 Elsevier B.V. All rights reserved.
In this paper, a new approach to the harmonic estimation based on the linear transformation named Taylor-Fourier transform has been proposed. A multiple-resonator-based observer structure has been used. The output tap...
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In this paper, a new approach to the harmonic estimation based on the linear transformation named Taylor-Fourier transform has been proposed. A multiple-resonator-based observer structure has been used. The output taps of the multiple resonators may fix not only the complex harmonic values but also, according to the actual resonator multiplicity, their first, second, third, fourth, and so on, derivatives at the corresponding frequency. The algorithm is recursive, which allows its implementation in embedded environment with limited memory. The estimation technique is suitable for application in a wide range of frequency changes, transient conditions, and interharmonics presence, with benefits in a reduced complexity and computational effort. To demonstrate the performance of the developed algorithm, computer simulated data records are processed.
The center problem at infinity is far to be solved in general. In this paper we develop a procedure to resolve it for a particular type of polynomial differential systems. The problem is solved by writing its concomit...
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The center problem at infinity is far to be solved in general. In this paper we develop a procedure to resolve it for a particular type of polynomial differential systems. The problem is solved by writing its concomitant differential equation in the complex coordinates introduced by Yirong Liu and by developing a new method of computation of the so called singular point quantities. This method is based on the transformation of infinity into the elementary origin. Finally, the investigation of center problem for the infinity of a particular family of planar polynomial vector fields of degree 5 is carried out to illustrate the main theoretical results. These involve extensive use of a Computer Algebra System, we have chosen to use Mathematica (R). (C) 2014 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
The filtered-x recursive square(FxRLS) algorithm has been proven to be efficient for active noise control(ANC) systems. Unfortunately, its performance deteriorates when the ANC systems are corrupted by impulsive noise...
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The filtered-x recursive square(FxRLS) algorithm has been proven to be efficient for active noise control(ANC) systems. Unfortunately, its performance deteriorates when the ANC systems are corrupted by impulsive noises. To reduce this drawback, a novel filter-x recursive least M-estimate adaptive(Fx RLM) algorithm for ANC is proposed in this paper, which can overcome the adverse effect of impulsive noise on the adaptation of controller. Simulations in the context of ANC system show that the proposed Fx RLM algorithm outperforms the conventional Fx RLS, filtered-x least mean p-power(Fx LMP) and robust Fx LMS(RFx LMS) algorithms.
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