Results 141 to 150 of about 959 (153)

A Novel ZCS-PWM Flyback Converter With a Simple ZCS-PWM Commutation Cell

IEEE Transactions on Industrial Electronics, 2008
This paper proposes a novel zero-current-switching pulsewidth-modulation (ZCS-PWM) flyback dc/dc converter using a simple ZCS-PWM commutation cell. The main switch and auxiliary switch operate at ZCS turn-on and turn-off conditions, and all uncontrolled devices in the proposed converter operate at zero-voltage-switching (ZVS) turn-on and turn-off.
openaire   +1 more source

A ZCS-PWM interleaved forward converter

2013 1st International Future Energy Electronics Conference (IFEEC), 2013
This paper proposed a zero-current- switching pulsewidth-modulation (ZCS-PWM) interleaved forward dc/dc converter. The proposed ZCS-PWM interleaved forward converter combines the conventional pulse-width-modulation technique and soft commutation technique.
Chien-Ming Wang, Chien-Min Lu, Jyun-Che Li, Chang-Hua Lin, Chien-Yeh Ho   +4 more
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A ZCS-PWM interleaved boost rectifier

2014 9th IEEE Conference on Industrial Electronics and Applications, 2014
This paper analyses and designs a ZCS-PWM single-phase high power factor interleaved boost rectifier. The proposed rectifier combines the conventional pulse-width-modulation technique and soft commutation technique to promote the circuit performance.
Chien-Ming Wang, Chang-Hua Lin, Chi-Hsiang Cheng   +2 more
openaire   +1 more source

Control Issues of a ZCS Inverter

2006 12th International Power Electronics and Motion Control Conference, 2006
The Ishikawa and Murai zero current switching inverter offers promising characteristic for several applications. Nevertheless, to date the control issue was not yet fully addressed. The paper reviews the converter evidencing the nonlinearity, the load-filter resonance issue, and the resonant time duration.
Vincenzo Colli, Roberto Stefano, Fabrizio Marignetti, Maurizio Scarano   +3 more
openaire   +1 more source

Self-Adaptive Mutation in ZCS Controllers

2000
The use and benefits of self-adaptive mutation operators are well-known within evolutionary computing. In this paper we examine the use of self-adaptive mutation in Michigan-style Classifier Systems with the aim of improving their performance as controllers for autonomous mobile robots.
Larry Bull, Jacob Hurst
openaire   +1 more source

The new Pcs(4459),Zcs(3985),Zcs(4000) and Zcs(4220) and the possible emergence of flavor pentaquark octets and tetraquark nonets.

Science bulletin, 2022
Jacopo, Ferretti, Elena, Santopinto
openaire   +3 more sources

Search for Zc (3900)-->omega pi+-

2015
The decay Zc(3900)-->omega pi+- is searched for using data samples collected with the BESIII detector operating at the BEPCII storage ring at center-of-mass energies sqrt(s)=4.23 and 4.26 GeV. No significant signal for the Zc(3900)± is found, and upper limits at the 90% confidence level on the Born cross section for the process e+e- -->’Zc(3900)±pi-+ --
Ablikim, M., Achasov, M. N., Ai, X. C., Albayrak, O., Albrecht, M., Ambrose, D. J., Amoroso, A., An, F. F., An, Q., Bai, J. Z., Ferroli, R. Baldini, Ban, Y., Bennett, D. W., Bennett, J. V., Bertani, M., Bettoni, D., Bian, J. M., Bianchi, F., Boger, E., Boyko, I., Briere, R. A., Cai, H., Cai, X., Cakir, O., Calcaterra, A., Cao, G. F., Cetin, S. A., Chang, J. F., Chelkov, G., Chen, G., Chen, H. S., Chen, H. Y., Chen, J. C., Chen, M. L., Chen, S. J., Chen, X., Chen, X. R., Chen, Y. B., Cheng, H. P., Chu, X. K., Cibinetto, G., Dai, H. L., Dai, J. P., Dbeyssi, A., Dedovich, D., Deng, Z. Y., Denig, A., Denysenko, I., Destefanis, M., De Mori, F., Ding, Y., Dong, C., Dong, J., Dong, L. Y., Dong, M. Y., Du, S. X., Duan, P. F., Eren, E. E., Fan, J. Z., Fang, J., Fang, S. S., Fang, X., Fang, Y., Fava, L., Feldbauer, F., Felici, G., Feng, C. Q., Fioravanti, E., Fritsch, M., Fu, C. D., Gao, Q., Gao, X. Y., Gao, Y., Gao, Z., Garzia, I., Geng, C., Goetzen, K., Gong, W. X., Gradl, W., Greco, M., Gu, M. H., Gu, Y. T., Guan, Y. H., Guo, A. Q., Guo, L. B., Guo, Y., Guo, Y. P., Haddadi, Z., Hafner, A., Han, S., Han, Y. L., Hao, X. Q., Harris, F. A., He, K. L., He, Z. Y., Held, T., Heng, Y. K., Hou, Z. L., Hu, C., Hu, H. M., Hu, J. F., Hu, T., Hu, Y., Huang, G. M., Huang, G. S., Huang, H. P., Huang, J. S., Huang, X. T., Huang, Y., Hussain, T., Ji, Q., Ji, Q. P., Ji, X. B., Ji, X. L., Jiang, L. L., Jiang, L. W., Jiang, X. S., Jiang, X. Y., Jiao, J. B., Jiao, Z., Jin, D. P., Jin, S., Johansson, T., Julin, A., Kalantar-nayestanaki, N., Kang, X. L., Kang, X. S., Kavatsyuk, M., Ke, B. C., Kiese, P., Kliemt, R., Kloss, B., Kolcu, O. B., Kopf, B., Kornicer, M., Kã1⁄4hn, W., Kupsc, A., Lange, J. S., Lara, M., Larin, P., Leng, C., Li, C., Li, C. H., Li, Cheng, Li, D. M., Li, F., Li, G., Li, H. B., Li, J. C., Li, Jin, Li, K., Li, K., Li, Lei, Li, P. R., Li, T., Li, W. D., Li, W. G., Li, X. L., Li, X. M., Li, X. N., Li, X. Q., Li, Z. B., Liang, H., Liang, Y. F., Liang, Y. T., Liao, G. R., Lin, D. X., Liu, B. J., Liu, C. X., Liu, F. H., Liu, Fang, Liu, Feng, Liu, H. B., Liu, H. H., Liu, H. H., Liu, H. M., Liu, J., Liu, J. B., Liu, J. P., Liu, J. Y., Liu, K., Liu, K. Y., Liu, L. D., Liu, P. L., Liu, Q., Liu, S. B., Liu, X., Liu, X. X., Liu, Y. B., Liu, Z. A., Liu, Zhiqiang, Liu, Zhiqing, Loehner, H., Lou, X. C., Lu, H. J., Lu, J. G., Lu, R. Q., Lu, Y., Lu, Y. P., Luo, C. L.   +199 more
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On ZCS in multi-agent environments

1998
This paper examines the performance of the ZCS Michigan-style classifier system in multi-agent environments. Using an abstract multi-agent model the effects of varying aspects of the performance, reinforcement and discovery components are examined.
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Generic units in ZC

2006
Zbigniew Marciniak, Sudarshan Sehgal
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Vulnerabilidade ZC UFES

2020
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