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<title cf:type="text"><![CDATA[Editorial department of the Journal of National University of Defense Technology -->Management Science and Engineering·Control Science and Engineerin]]></title>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Efficient node screen algorithm for hybrid cooperative location of UAV swarm]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202501019]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[In order to solve the problem of node screen with high precision and high real-time in the hybrid cooperative location of UAV swarm, an efficient node screen algorithm was proposed. The algorithm used the variance of positioning as the basis for evaluating positioning accuracy and used the recursive relationship between the variance of positioning caused by the removal of one node to select the specified number of nodes for positioning calculation. At the same time, the algorithm added an operation volume adjustment factor to solve the problem of large computation volume and poor real-time performance of traditional node selection algorithms in the case of a large number of nodes. Through simulation experiment, the variance and operation time consumption obtained by the algorithm are compared with the corresponding results of other optimization methods. The experimental results show that the algorithm greatly reduces the amount of calculation while ensuring the positioning accuracy, and has good real-time performance and feasibility.]]></description>
<pubDate>2025/1/20 0:00:00</pubDate>
<category><![CDATA[Management Science and Engineering·Control Science and Engineerin]]></category>
<author><![CDATA[ZHANG Can, LI Qun, LUN Weicheng, HE Yongming, GUO Dong]]></author>
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<atom:name>ZHANG Can, LI Qun, LUN Weicheng, HE Yongming, GUO Dong</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Sample size design of launch vehicle combined with SPOT and Bayes recursive estimation]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202501020]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[Aiming at the small sample data of launch vehicle, combining the SPOT(sequential posterior odd test）and Bayes recursive estimation method to improve the traditional sample size design from hypothesis testing and parameter estimation, respectively. When evaluating the performance indexes of launch vehicle following the normal distribution, the composite equivalent coefficient was introduced to fuse multi-source data, which can make up for the shortage of experimental data or test data. Considering the two types of risks and confidence requirements comprehensively, a reasonable evaluation scheme was designed. Through the analysis of examples, the results verified that the proposed method are authentic and credible, which can reduce the sample size demand effectively, and can be used for the sample size test design of launch vehicle under the small sample condition.]]></description>
<pubDate>2025/1/20 0:00:00</pubDate>
<category><![CDATA[Management Science and Engineering·Control Science and Engineerin]]></category>
<author><![CDATA[HUANG Pengqizi, DUAN Xiaojun, ZHANG Yinhui]]></author>
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<atom:name>HUANG Pengqizi, DUAN Xiaojun, ZHANG Yinhui</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Redundant force suppression method of servo actuation system performance test platform]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202501021]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[In order to solve the problem of the real-time parameter adjustment when suppressing redundant force by the structural invariance compensation method, a mathematical model and a simulation model of a servo actuation system performance test platform were established, respectively. A decoupling control method for speed feedforward compensator was proposed, and a fuzzy controller was designed to suppress the redundant force. The inhibition effects of the three control methods including the traditional PI(proportional-integral) control, traditional PI feedforward compensation control and fuzzy PI feedforward compensation control on the redundant force of the test platform were compared. Simulation results show that the loading accuracy of the test platform can be improved by the fuzzy PI feedforward compensation control method with the most significant suppression effect on the redundant force. The effectiveness of the proposed control method was verified by the comparison between the experiments and simulations, which provides a theoretical reference for the servo actuation system test platform to loading with heavy thrust and high precision.]]></description>
<pubDate>2025/1/20 0:00:00</pubDate>
<category><![CDATA[Management Science and Engineering·Control Science and Engineerin]]></category>
<author><![CDATA[YUAN Binlin, ZHANG Shifeng]]></author>
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<atom:name>YUAN Binlin, ZHANG Shifeng</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[BeiDou-3 satellite autonomous time synchronization algorithm for clock jumps]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202501022]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[Aiming at the problem that the time on the satellite deviates from the time of the entire network constellation caused by the abnormal jump of the satellite clock, an autonomous time synchronization algorithm for Beidou-3 satellites for the jump of the satellite clock is designed. By introducing robust least-squares estimation, the time synchronization algorithm of distributed satellite constellations was improved, so that it can quickly detect abnormal clock jumps and have the ability of autonomous time synchronization. Using the same simulation environment as the Beidou-3 satellite and introducing actual on-orbit test data, the algorithm was accurately evaluated. The results show that within 60 d, the time synchronization error of each satellite in the constellation does not exceed 368 ns, and when a satellite jumps abnormally, the algorithm can restore time synchronization within 1 h, which improves the reliability of the algorithm under clock jumps.]]></description>
<pubDate>2025/1/20 0:00:00</pubDate>
<category><![CDATA[Management Science and Engineering·Control Science and Engineerin]]></category>
<author><![CDATA[ZHOU Lisha, LIN Baojun, SHAO Ruiqiang, LIN Xia, REN Qianyi, HE Hongyu, SUN Jianfeng, TIAN Yan]]></author>
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<atom:name>ZHOU Lisha, LIN Baojun, SHAO Ruiqiang, LIN Xia, REN Qianyi, HE Hongyu, SUN Jianfeng, TIAN Yan</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Reliability modeling method in presence of non-conjugate distributions of random parameters]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202501023]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[To obtain accurate product lifetime prediction results, random parameters which obey non-conjugate distributions were introduced to describe the unit-to-unit variation of products in the reliability model. For long-life products with monotonic degradation, the reliability model was proposed based on the Gamma process with non-conjugate distribution random parameters. Extending the traditional conjugate distribution of random parameters to non-conjugate distribution, unified expression of life distribution function under different parameter distributions was derived, and the lifetime prediction values were calculated by using the Monte Carlo method. Markov chain Monte Carlo method was adopted for parameter estimation. The calculation algorithm for the likelihood function under different distributions and the selection criterion for the parameter distribution were presented, and the effect of the distribution of random parameters on the product reliability was analyzed. The simulation test and the application example show that this modeling method can select an appropriate distribution. Simultaneously, the accuracy of parameter estimation and lifetime prediction of the method is validated.]]></description>
<pubDate>2025/1/20 0:00:00</pubDate>
<category><![CDATA[Management Science and Engineering·Control Science and Engineerin]]></category>
<author><![CDATA[LU Xiang, CHU Weihua, GAI Wen, CHEN Dan]]></author>
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<atom:name>LU Xiang, CHU Weihua, GAI Wen, CHEN Dan</atom:name>
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