The classical principles of Wiener filter design consider only the causality constraint. However, additional constraints are often involved in practice. This paper provides a comprehensive theoretical approach for des...
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The classical principles of Wiener filter design consider only the causality constraint. However, additional constraints are often involved in practice. This paper provides a comprehensive theoretical approach for designing Wiener filters with constraint conditions beyond causality. Using integration, we first derive an extension of the Wiener-Hopf equation with an additional term that captures the effect of the constraint conditions on the resulting Wiener filters. Next, we analytically solve the extended Wiener-Hopf equation and develop a new iterative algorithm to obtain its optimum value. We prove the convergence of our iterative algorithm and provide several simulations to illustrate the applicability of our theoretical approach.
This paper studies the design problem of periodic piecewise guaranteed cost controllers for a class of continuous-time uncertain periodic piecewise linear systems using a time weighted quadratic cost function. By deve...
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This paper studies the design problem of periodic piecewise guaranteed cost controllers for a class of continuous-time uncertain periodic piecewise linear systems using a time weighted quadratic cost function. By developing Lyapunov functions with quadratic cost matrices to a time-varying form, sufficient conditions are proposed to ensure the exponential stability of the closed-loop system and a guaranteed upper bound of the cost function. To minimize the upper bound in the controller design process, an iterative algorithm is developed to solve the problem via convex optimization. The effectiveness of our proposed algorithm is demonstrated via a numerical example, and the impact of time-weighted cost is illustrated by simulation results. (C) 2018 Elsevier Inc. All rights reserved.
Two iterative algorithms are proposed for the split fixed point *** first algorithm is shown to be weakly convergent and the second one to be strongly *** feature of these algorithms is that the stepsizes are chosen i...
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Two iterative algorithms are proposed for the split fixed point *** first algorithm is shown to be weakly convergent and the second one to be strongly *** feature of these algorithms is that the stepsizes are chosen in such a way that no priori knowledge of the operator norms is required.A new idea is introduced in order to prove strong convergence of the second algorithm.
With the power system harmonic pollution problems becoming more and more serious, how to distinguish the harmonic responsibility accurately and solve the grid harmonics simply and effectively has become the main devel...
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With the power system harmonic pollution problems becoming more and more serious, how to distinguish the harmonic responsibility accurately and solve the grid harmonics simply and effectively has become the main development direction in harmonic control subjects. This paper, based on linear regression analysis of basic equation and improvement equation, deduced the least squares estimation (LSE) iterative algorithm and obtained the real-time estimates of regression coefficients, and then calculated the level of the harmonic impedance and emission estimates in real time. This paper used power system simulation software Matlab/Simulink as analysis tool and analyzed the user side of the harmonic amplitude and phase fluctuations PCC (point of common coupling) at the harmonic emission level, thus the research has a certain theoretical significance. The development of this algorithm combined with the instrument can be used in practical engineering.
The problem of state observer design for the linear discrete-time periodic (LDP) system and its robust consideration are discussed in this paper. Applying the lifting technique and algebraic operations based on the we...
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The problem of state observer design for the linear discrete-time periodic (LDP) system and its robust consideration are discussed in this paper. Applying the lifting technique and algebraic operations based on the well-known CG-algorithm, an iterative algorithm for periodic observer gain can be generated. By optimizing the free parameter matrix in the proposed algorithm, an algorithm on the minimum norm and robust observer design for the LDP systems is presented. One numerical example is worked out to illustrate the effect of the proposed approaches.
In this paper, an iterative algorithm for solving a generalized coupled Sylvester-conjugate matrix equations over Hermitian R-conjugate matrices given by A(1)VB(1)+C1WD1 = E-1(V) over barF(1) + G(1) and A(2)VB(2) + C2...
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In this paper, an iterative algorithm for solving a generalized coupled Sylvester-conjugate matrix equations over Hermitian R-conjugate matrices given by A(1)VB(1)+C1WD1 = E-1(V) over barF(1) + G(1) and A(2)VB(2) + C2WD2 = E-2(V) over barF(2) + G(2) is presented. When these two matrix equations are consistent, the convergence theorem shows that a solution can be obtained within finite iterative steps in the absence of round-off error for any initial arbitrary Hermitian R-conjugate solution matrices V-1, W-1. Some lemmas and theorems are stated and proved where the iterative solutions are obtained. A numerical example is given to demonstrate the behavior of the proposed method and to support the theoretical results. (C) 2018 Elsevier Ltd. All rights reserved.
In the 5G wireless networks, non-orthogonal multiple access (NOMA) is a promising paradigm to improve its high spectrum efficiency. This study considers applying simultaneous wireless information and power transfer (S...
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In the 5G wireless networks, non-orthogonal multiple access (NOMA) is a promising paradigm to improve its high spectrum efficiency. This study considers applying simultaneous wireless information and power transfer (SWIPT) technique to cooperative NOMA wireless networks, where energy-constrained relay nodes harvest the ambient radio-frequency signal and use the harvested energy to forward the packets from sources to destinations. To this end, the authors first formulate the energy-efficient cooperative transmission problem for SWIPT in NOMA with imperfect channel state information. Then, by exploiting alternative optimisation and dual decomposition, they design an iterative algorithm for power allocation and power splitting (PS) to solve the non-convex optimisation problem. The authors' simulation results reveal that the proposed algorithm can converge within a few iterations and yield optimal system energy efficiency.
This paper performs a maximum likelihood analysis of the total least squares problem with Gaussian noise errors and correlated elementwise components in the design matrix. This analysis also includes a derivation of t...
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This paper performs a maximum likelihood analysis of the total least squares problem with Gaussian noise errors and correlated elementwise components in the design matrix. This analysis also includes a derivation of the Fisher information matrix and the error-covariance for the parameter estimates. Furthermore, the error-covariances of the associated coefficient and output estimates are also derived. These error-covariances can yield a much improved covariance approximation than would be achieved using naive least squares. The results are compared with previously derived results for the uncorrelated elementwise component with nonequal row variance case. Simulation results using three-dimensional bearings-only localization are shown to quantify the theoretical derivations, which show that the derived error-covariances are more consistent than those given by the naive least squares solution.
This paper studies an H-infinity model reduction problem for interval frequency negative imaginary (IFNI) systems. For a given IFNI system, our goal is to find a reduced-order IFNI system satisfying a pre-specified H-...
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This paper studies an H-infinity model reduction problem for interval frequency negative imaginary (IFNI) systems. For a given IFNI system, our goal is to find a reduced-order IFNI system satisfying a pre-specified H-infinity approximation error bound over the finite-frequency interval. Necessary and sufficient conditions in terms of matrix inequalities are derived for the existence and construction of an H-infinity reduced-order IFNI system. An improved iterative algorithm is provided to solve the matrix inequalities and to minimize the H-infinity approximation error. The proposed method is further clarified via the application to the electrical circuits, such as high-order Sallen-Key low-pass filter, piezoelectric tube scanner, and RLC circuit. The simulation results on these electrical circuits are compared with the finite-frequency interval Gramians-based model reduction method both in the frequency domain and time domain.
In this paper, a destination choice model with pairwise district-level constants is proposed for trip distribution based on a nearly complete OD trip matrix in a region. It is found that the coefficients are weakly id...
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In this paper, a destination choice model with pairwise district-level constants is proposed for trip distribution based on a nearly complete OD trip matrix in a region. It is found that the coefficients are weakly identified in a destination choice model with pairwise zone-level constants. Thus, a destination choice model with pairwise district-level constants is then proposed and an iterative algorithm is developed for model estimation. Herein, the "district" means a spatial aggregation of a number of zones. The proposed model is demonstrated through simulation experiments. Then, destination choice models with and without pairwise district-level constants are estimated based on GPS data of taxi passenger trips collected during morning peak hours within the Inner Ring Road of Shanghai, China. The datasets comprise 504,187 trip records and a sample of 10,000 taxi trips for model development. The zones used in the study are actually 961 residents' committees while the districts are 52 residential districts that are spatial aggregations and upper-level administrative units of residents' committees. It is found that the estimated value of time dramatically drops after the involvement of district-level constants, indicating that the traditional model tends to overestimate the value of time when ignoring pairwise associations between two zones in trip distribution. The proposed destination choice model can ensure its predicted trip OD matrix to match the observed one at district level. Thus, the proposed model has potential to be widely applied for trip distribution under the situation where a complete OD trip matrix can be observed.
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