W. Gahler has proposed the concept of L-fuzzy filters and discussed the product of L-fuzzy filters. This note is devoted to the discussion of another type product, we called it I I-type product of L-fuzzy filters.
A Bloom filter is a space-efficient data structure used for concisely representing a set as well as membership queries at the expense of introducing false positive. In this paper, we propose the L-priorities Bloom fil...A Bloom filter is a space-efficient data structure used for concisely representing a set as well as membership queries at the expense of introducing false positive. In this paper, we propose the L-priorities Bloom filter （LPBF） as a new member of the Bloom filter （BF） family, it uses a limited multidimensional bit space matrix to replace the bit vector of standard bloom filters in order to support different priorities for the elements of a set. We demonstrate the time and space complexity, especially the false positive rate of LPBF. Furthermore, we also present a detailed practical evaluation of the false positive rate achieved by LPBF. The results show that LPBF performs better than standard BFs with respect to false positive rate.展开更多
This paper studies the design and sizing of a filter (<em>L-C</em>) for an inverter with 180<span style="white-space:nowrap;"><span style="white-space:nowrap;">°<...This paper studies the design and sizing of a filter (<em>L-C</em>) for an inverter with 180<span style="white-space:nowrap;"><span style="white-space:nowrap;">°</span></span> control in Medium voltage (MV), based on formulas of the capacitance of the capacitor <em>C</em> and the inductance <em>L</em> of the filter (<em>L-C</em>) of an SPWM inverter. These formulas were obtained by minimizing two parameters: the reactive power of the capacitor (capped at 5% of the apparent power of the load) and the ripple of the current flowing through inductance <em>L</em> (capped at 10% of the current supplying the load). The application of these formulas for the calculation of the filter (<em>L-C</em>) of the 180<span style="white-space:nowrap;">°</span> control inverter in MV is not conclusive. Studies have been carried out to make them applicable. The results show that limiting the current ripple in the inductor to 10% of the load current is a valid assumption and that limiting the reactive power of the capacitor to 5% of the apparent power of the load presents shortcomings. The results also show that setting the inductance <em>L</em> of the filter to <em>L<sub>maxi </sub></em>and the capacitor <em>C </em>from 35 × <em>C<sub>maxi</sub></em> to 400 × <em>C</em><em><sub>maxi </sub></em>gives voltage and current THDs that meet the 519 IEEE-2014 standards.展开更多
This paper studies the nonstationary filtering problem of Markov jump system under <span style="white-space:nowrap;"><i>l</i><sub>2</sub> - <i>l</i><sub>...This paper studies the nonstationary filtering problem of Markov jump system under <span style="white-space:nowrap;"><i>l</i><sub>2</sub> - <i>l</i><sub>∞</sub> </span>performance. Due to the difference in propagation channels, signal strength and phase will inevitably change randomly and cause the waste of signals resources. In response to this problem, a channel fading model with multiplicative noise is introduced. And then a nonstationary filter, which receives signals more efficiently is designed. Meanwhile Lyapunov function is constructed for error analysis. Finally, the gain matrix for filtering is obtained by solving the matrix inequality, and the results showed that the nonstationary filter converges to the stable point more quickly than the traditional asynchronous filter, the stability of the designed filter is verified.展开更多
The problem of robust L 1 filtering with pole constraint in a disk for linear continuous polytopic uncertain systems is discussed. The attention is focused on design a linear asymptotically stable filter such that th...The problem of robust L 1 filtering with pole constraint in a disk for linear continuous polytopic uncertain systems is discussed. The attention is focused on design a linear asymptotically stable filter such that the filtering error system remains robustly stable, and has a L 1 performance constraint and pole constraint in a disk. The new robust L 1 performance criteria and regional pole placement condition are obtained via parameter-dependent Lyapunov functions method. Upon the proposed multiobjective performance criteria and by means of LMI technique, both full-order and reduced-order robust L 1 filter with suitable dynamic behavior can be obtained from the solution of convex optimization problems. Compared with earlier result in the quadratic framework, this approach turns out to be less conservative. The efficiency of the proposed technique is demonstrated by a numerical example.展开更多
文摘W. Gahler has proposed the concept of L-fuzzy filters and discussed the product of L-fuzzy filters. This note is devoted to the discussion of another type product, we called it I I-type product of L-fuzzy filters.
基金supported by Project of Plan for Science and Technology Development of Jilin Province (No. 20101504)Project of Research of Science and Technology for the 11th Five-year Plan of Jilin Education Department (No. 2009604)
文摘A Bloom filter is a space-efficient data structure used for concisely representing a set as well as membership queries at the expense of introducing false positive. In this paper, we propose the L-priorities Bloom filter （LPBF） as a new member of the Bloom filter （BF） family, it uses a limited multidimensional bit space matrix to replace the bit vector of standard bloom filters in order to support different priorities for the elements of a set. We demonstrate the time and space complexity, especially the false positive rate of LPBF. Furthermore, we also present a detailed practical evaluation of the false positive rate achieved by LPBF. The results show that LPBF performs better than standard BFs with respect to false positive rate.
文摘This paper studies the design and sizing of a filter (<em>L-C</em>) for an inverter with 180<span style="white-space:nowrap;"><span style="white-space:nowrap;">°</span></span> control in Medium voltage (MV), based on formulas of the capacitance of the capacitor <em>C</em> and the inductance <em>L</em> of the filter (<em>L-C</em>) of an SPWM inverter. These formulas were obtained by minimizing two parameters: the reactive power of the capacitor (capped at 5% of the apparent power of the load) and the ripple of the current flowing through inductance <em>L</em> (capped at 10% of the current supplying the load). The application of these formulas for the calculation of the filter (<em>L-C</em>) of the 180<span style="white-space:nowrap;">°</span> control inverter in MV is not conclusive. Studies have been carried out to make them applicable. The results show that limiting the current ripple in the inductor to 10% of the load current is a valid assumption and that limiting the reactive power of the capacitor to 5% of the apparent power of the load presents shortcomings. The results also show that setting the inductance <em>L</em> of the filter to <em>L<sub>maxi </sub></em>and the capacitor <em>C </em>from 35 × <em>C<sub>maxi</sub></em> to 400 × <em>C</em><em><sub>maxi </sub></em>gives voltage and current THDs that meet the 519 IEEE-2014 standards.
文摘This paper studies the nonstationary filtering problem of Markov jump system under <span style="white-space:nowrap;"><i>l</i><sub>2</sub> - <i>l</i><sub>∞</sub> </span>performance. Due to the difference in propagation channels, signal strength and phase will inevitably change randomly and cause the waste of signals resources. In response to this problem, a channel fading model with multiplicative noise is introduced. And then a nonstationary filter, which receives signals more efficiently is designed. Meanwhile Lyapunov function is constructed for error analysis. Finally, the gain matrix for filtering is obtained by solving the matrix inequality, and the results showed that the nonstationary filter converges to the stable point more quickly than the traditional asynchronous filter, the stability of the designed filter is verified.
文摘The problem of robust L 1 filtering with pole constraint in a disk for linear continuous polytopic uncertain systems is discussed. The attention is focused on design a linear asymptotically stable filter such that the filtering error system remains robustly stable, and has a L 1 performance constraint and pole constraint in a disk. The new robust L 1 performance criteria and regional pole placement condition are obtained via parameter-dependent Lyapunov functions method. Upon the proposed multiobjective performance criteria and by means of LMI technique, both full-order and reduced-order robust L 1 filter with suitable dynamic behavior can be obtained from the solution of convex optimization problems. Compared with earlier result in the quadratic framework, this approach turns out to be less conservative. The efficiency of the proposed technique is demonstrated by a numerical example.
