维普期刊资源整合服务平台（V6.5）

维普中文期刊产品整合服务

2篇 您的检索式：作者名="ZHUO Zhenfu"

选中清除导出查看参考文献查看引证文献引用追踪共1页首页上一页第1页下一页末页 /1 跳转

		题名	作者	年代	出处	被引量
	1	Amended Kalman Filter for Maneuvering Target Tracking显示文摘The conventional Kalman filter(KF) which uses the current measurement to estimate the current state is a posterior estimation. KF is identified as the optimal estimation in linear models with Gaussian noise. However,the performance of KF with incomplete information may be degraded or diverged. In order to improve the performance of KF, an Amended KF(AKF) is proposed by using more posterior measurements. The principle, derivation and recursive process of AKF are presented. The differences among Kalman smoother, adaptive fading method and AKF are analyzed. The simulation results of target tracking with different covariance of motion model indicate the high precision and robustness of AKF.	YANG Yongjian FAN Xiaoguang ZHUO Zhenfu WANG Shengda NAN Jianguo XU Yunshan	2016	Chinese Journal of Electronics2016，25，6：	9
	2	Improved particle swarm optimization based on particles' explorative capability enhancement显示文摘Accelerating the convergence speed and avoiding the local optimal solution are two main goals of particle swarm optimization(PSO). The very basic PSO model and some variants of PSO do not consider the enhancement of the explorative capability of each particle. Thus these methods have a slow convergence speed and may trap into a local optimal solution. To enhance the explorative capability of particles, a scheme called explorative capability enhancement in PSO(ECE-PSO) is proposed by introducing some virtual particles in random directions with random amplitude. The linearly decreasing method related to the maximum iteration and the nonlinearly decreasing method related to the fitness value of the globally best particle are employed to produce virtual particles. The above two methods are thoroughly compared with four representative advanced PSO variants on eight unimodal and multimodal benchmark problems. Experimental results indicate that the convergence speed and solution quality of ECE-PSO outperform the state-of-the-art PSO variants.	Yongjian Yang Xiaoguang Fan Zhenfu Zhuo Shengda Wang Jianguo Nan Wenkui Chu	2016	Journal of Systems Engineering and Electronics2016，27，4：	1

返回顶部每页显示：

共1页首页上一页第1页下一页末页 /1 跳转

goolge学术搜索-维普

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费