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排序方式: 共有56条查询结果,搜索用时 15 毫秒
1.
Yang Shuo Mao Xinjun Wang Qiuzhen Huang Yuhong 《Journal of Intelligent and Robotic Systems》2021,103(1):1-17
Journal of Intelligent & Robotic Systems - In this work, we present a new mathematic model for the flight of a bird-scale flapping-wing aerial vehicle, in which the impacts of the wing inertia... 相似文献
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面向存在障碍物的三维无线传感网络环境,本文提出了一种利用流体力学中的流函数为移动Sink节点规划避障路径的方法.本文方法借鉴了真实洋流运动的避障特性为移动Sink节点提供连续且平滑的流线轨迹,而且理论分析解决了存在多障碍物情况下流函数的拉普拉斯方程边界无解的问题.同时,本文将传统的二维流函数扩展应用到三维空间,研究了三维流函数的构造方法和"滞点"解决方案.仿真结果表明,采用本文提出的三维流函数所规划的移动Sink避障路径可实现多障碍物环境下的高效避障,还具有较好的连续性和平滑性,满足移动Sink节点在移动过程中智能躲避多障碍物的实际需求. 相似文献
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Jianyong Chen Qiuzhen Lin Zhen Ji 《Soft Computing - A Fusion of Foundations, Methodologies and Applications》2011,15(7):1273-1288
In this paper, we propose a chaos-based multi-objective immune algorithm (CMIA) with a fine-grained selection mechanism based
on the clonal selection principle. Taking advantage of the ergodic and stochastic properties of chaotic sequence, a novel
mutation operator, named as chaos-based mutation (CM) operator, is proposed. Moreover, the information of diversity estimation
is also adopted in the CM operator for nondominated solutions to adjust mutation steps adaptively, which encourages searching
less-crowded regions with relative large step sizes. When comparing with polynomial mutation operator that is used in many
state-of-the-art multi-objective optimization evolutionary algorithms, simulations show that it is effective to enhance the
search performance. On the other hand, in order to increase the population diversity, a fine-grained selection mechanism is
proposed in this paper, which seems to be remarkably effective in two-objective benchmark functions. When comparing with two
state-of-the-art multi-objective evolutionary algorithms (NSGA-II and SPEA-2) and a new multi-objective immune algorithm (NNIA),
simulation results of CMIA indicate the effectiveness of the fine-grained selection mechanism and the remarkable performance
in finding the true Pareto-optimal front, especially on some benchmark functions with many local Pareto-optimal fronts. 相似文献
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基于WEB的企业模型仿真技术探讨 总被引:3,自引:1,他引:2
文章首先讲述了企业模型及其仿真的重要性,然后探讨了WEB上企业模型仿真涉及到的相关技术,最后给出了相应的实现方式和技术。 相似文献
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In this paper, we present a novel immune multiobjective optimization algorithm based on micro-population, which adopts a novel adaptive mutation operator for local search and an efficient fine-grained selection operator for archive update. With the external archive for storing nondominated individuals, the population diversity can be well preserved using an efficient fine-grained selection procedure performed on the micro-population. The adaptive mutation operator is executed according to the fitness values, which promotes to use relatively large steps for boundary and less-crowded individuals in high probability. Therefore, the exploratory capabilities are enhanced. When comparing the proposed algorithm with a recently proposed immune multiobjective algorithm and a scatter search multiobjective algorithm in various benchmark functions, simulations show that the proposed algorithm not only improves convergence ability but also preserves population diversity adequately in most cases. 相似文献
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Qiuzhen Wan Chunhua WangAuthor vitae 《AEUE-International Journal of Electronics and Communications》2011,65(12):1006-1011
A new low complexity ultra-wideband 3.1–10.6 GHz low noise amplifier (LNA), designed in a chartered 0.18 μm RFCMOS technology, is presented in this paper. The ultra-wideband LNA only consists of two simple amplifiers with an inter-stage inductor connected. The first stage utilizing a resistive current reuse and dual inductive degeneration techniques is used to attain a wideband input matching and low noise figure. A common source amplifier with inductive peaking technique as the second stage achieves high flat gain and wide the −3 dB bandwidth of the overall amplifier simultaneously. The implemented ultra-wideband LNA presents a maximum power gain of 15.6 dB, a high reverse isolation of −45 dB and a good input/output return losses are better than −10 dB in the frequency range of 3.1–10.6 GHz. An excellent noise figure (NF) of 2.8–4.7 dB was obtained in the required band with a power dissipation of 14.1 mW under a supply voltage of 1.5 V. An input-referred third-order intercept point (IIP3) is −7.1 dBm at 6 GHz. The chip area including testing pads is only 0.8 mm × 0.9 mm. 相似文献
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本文基于特许0.18μm CMOS工艺,提出了一种新型的低复杂3.1~10.6GHz超宽带LNA电路,它由两级简单的放大器通过级间电感连接构成。第一级放大器使用电阻电流复用结构和双电感退化技术来达到宽带输入匹配和低噪声性能,第二级放大器使用带电感峰值技术的共源级放大器来同时达到高平坦增益和好的宽带性能。测试结果表明,在3.1~10.6GHz频段内,提出的超宽带LNA的最大功率增益为15.6dB,S12为-45dB,输入输出隔离度小于-10dB,噪声系数NF为2.8~4.7dB,在6GHz时的输入三阶交调点IIP3为-7.1dBm。芯片在1.5V电源电压下,消耗的功率为14.1mW,芯片总面积为0.8mm0.9mm。 相似文献