Data fusion control and guidance of surface-to-air missile under the complex circumstance based on neural-net technology

Under the complicated electromagnetism circumstance, the model of data fusion control and guidance of surface-to-air missile weapon systems is established. Such ways and theories as Elman-NN, radar tracking and filter＇s data fusion net based on the group method for data-processing （GMRDF） are applied to constructing the model of data fusion. The highly reliable state estimation of the tracking targets and the improvement in accuracy of control and guidance are obtained. The purpose is optimization design of data fusion control and guidance of surface-to-air missile weapon systems and improving the fighting effectiveness of surface-to-air missile weapon systems.

Primary exploration of nonlinear information fusion control theory

By introducing Information fusion techniques into a control field, a new theory of information fusion control （IFC） is proposed. Based on the theory of information fusion estimation, optimal control of nonlinear discrete control system is investi- gated. All information on control strategy, including ideal control strategy, expected object trajectory and dynamics of system, are regarded as measuring information of control strategy. Therefore, the problem of optimal control is transferred into the one of information fusion estimation. Firstly, the nonlinear information fusion estimation theorems are described. Secondly, an algorithm of nonlinear IFC theory is detailedly deduced. Finally, the simulation results of manipulator shift control are given, which show the feasibility and effectiveness of the presented algorithm.

SPOT WELDING QUALITY FUZZY CONTROL SYSTEM BASED ON MULTISENSOR INFORMATION FUSION

The multisensor information fusion technology is adopted for real time measuring the four parameters which are connected closely with the weld nugget size（welding current, electrode displacement, dynamic resistance, welding time）, thus much more original information is obtained. In this way, the difficulty caused by measuring indirectly weld nugget size can be decreased in spot welding quality control, and the stability of spot welding quality can be improved. According to this method, two-dimensional fuzzy controllers are designed with the information fusion result as input and the thyristor control signal as output. The spot welding experimental results indicate that the spot welding quality intelligent control method based on multiscnsor information fusion technology can compensate the influence caused by variable factors in welding process and ensure the stability of welding quality.

MHD Stability Analysis and Flow Controls of Liquid Metal Free Surface Film Flows as Fusion Reactor PFCs

Numerical and experimental investigation results on the magnetohydrodynamics（MHD） film flows along flat and curved bottom surfaces are summarized in this study. A simplified modeling has been developed to study the liquid metal MHD film state, which has been validated by the existing experimental results. Numerical results on how the inlet velocity（V）, the chute width（W） and the inlet film thickness（d0） affect the MHD film flow state are obtained. MHD stability analysis results are also provided in this study. The results show that strong magnetic fields make the stable V decrease several times compared to the case with no magnetic field,especially small radial magnetic fields（Bn） will have a significant impact on the MHD film flow state. Based on the above numerical and MHD stability analysis results flow control methods are proposed for flat and curved MHD film flows. For curved film flow we firstly proposed a new multi-layers MHD film flow system with a solid metal mesh to get the stable MHD film flows along the curved bottom surface. Experiments on flat and curved MHD film flows are also carried out and some firstly observed results are achieved.

Controlling Fusion of Majorana Fermions in One-Dimensional Systems by Zeeman Field

We propose the realization of Majorana fermions （MFs） on the edges of a two-dimensional topological insulator in the proximity with s-wave superconductors and in the presence of transverse exchange field h. It is shown that there appear a pair of MFs localized at two junctions and that a reverse in the direction of h can lead to permutation of two MFs. With decreasing h, the MF states can either be fused or form one Dirac fermion on the π-junctions, exhibiting a topological phase transition. This characteristic can be used to detect physical states of MFs when they are transformed into Dirac fermions MFs is also given. localized on the π-junction. A condition of decoupling two

Research in Control Systems, Sensor Fusion, and Haptic Interfaces

Research in control systems, sensor fusion and haptic interfaces is reviewed.

A Way to Realize Controlled Nuclear Fusion by γ-Laser or γ-Ray

A way is proposed to realize controllable-nuclear fusion by γ-laser or γ-ray and ordinary laser with their certain frequencies and large enough intensities to irradiate a target ball. The function of ordinary laser is to heat the target nuclei and to realize the inertial confinement for the target nuclei. The target nuclei absorbing γ-photons will be in a certain excited state. The scattering cross-sections will be larger and the ignition temperature will be lower to realize fusion of the nuclei in their excited states than those of the nuclei in their ground states. In contrast with the nuclei applied in conventional fusion, e.g., deutons and tritons, according to the way, the nuclei applied to fusion should have the following characters: the nuclei have their excited states, one of the excited states has higher energy and longer lifetime, and the masses of the nuclei are lesser. Thus, the Lawson conditions can more easily be realized so that the controllable nuclear fusion is possibly realized by the way.

Multi-rate sensor fusion-based adaptive discrete finite-time synergetic control for flexible-joint mechanical systems

This paper proposes an adaptive discrete finite-time synergetic control （ADFTSC） scheme based on a multi-rate sensor fusion estimator for flexible-joint mechanical systems in the presence of unmeasured states and dynamic uncertainties. Multi-rate sensors are employed to observe the system states which cannot be directly obtained by encoders due to the existence of joint flexibilities. By using an extended Kalman filter （EKF）, the finite-time synergetic controller is designed based on a sensor fusion estimator which estimates states and parameters of the mechanical system with multi-rate measurements. The proposed controller can guarantee the finite-time convergence of tracking errors by the theoretical derivation. Simulation and experimental studies are included to validate the effectiveness of the proposed approach.

基于模糊理论的输电网络电压无功控制策略

为解决新能源、电动汽车、储能等新技术应用下,高复杂度电力系统电压稳定控制问题,提出了一种基于模糊理论的输电网络电压无功控制策略。该方法引入模糊理论中的隶属度函数,根据系统节点与不同分区之间的耦合程度制定无功控制策略。根据灵敏度计算网络各个节点之间的电气距离,通过模糊聚类算法对节点进行初步分区,并采用聚类融合算法对聚类产生的多个结果进行融合,从而得到最终分区结果。根据关键节点对各个分区的隶属度制定主辅控制策略。IEEE30节点输电网络的算例分析表明,该控制策略可以有效实现对无功功率的控制。

图书馆智慧管理平台书目数据融合若干问题分析——以河海大学图书馆为例

文章通过分析河海大学图书馆智慧管理平台下的书目数据融合项目的实践,总结了数据库中书目数据存在的问题及原因,从编目人员、编目外包公司、图书馆自身3个维度提出优化策略,以提升图书馆的编目业务的质量,促进图书馆编目事业稳定健康的发展。

盐酸度洛西汀联合标准镇痛对腰椎融合术病人疼痛控制效果和改善预后生活质量的临床分析

目的探讨盐酸度洛西汀联合标准镇痛对腰椎融合术病人疼痛控制及生活质量的改善效果。方法前瞻性选择2019年5月~2020年12月在我院行腰椎融合术治疗的病人106例,按随机数字表法分为观察组(54例)与对照组(52例)。对照组术后给予标准镇痛,观察组给予标准镇痛联合盐酸度洛西汀镇痛。比较两组术后疼痛程度、镇痛药物使用情况(术后镇痛泵首次按压时间、术后48小时镇痛泵有效按压次数)、心理情绪、生活质量改善情况及不良反应发生情况。结果观察组术后1天、术后3天和术后7天静息时视觉模拟评分法(VAS)分别为(4.19±0.78)分、(2.84±0.61)分和(1.73±0.42)分,对照组分别为(5.24±0.80)分、(3.51±0.57)分和(2.49±0.56)分,两组比较差异有统计学意义(P<0.05)。观察组术后镇痛泵首次按压时间为(12.33±2.34)小时,术后48小时镇痛泵有效按压次数为(3.78±0.92)次,对照组分别为(7.61±0.85)小时,(10.44±3.27)次,两组比较,差异有统计学意义(P<0.05)。观察组术后7天、14天心理情绪焦虑自评量表(SAS)分别为(52.44±6.71)分、(37.85±6.49)分,抑郁自评量表(SDS)评分分别为(51.16±5.43)分、(35.64±5.36)分,对照组分别为(57.39±6.43)分、(42.66±5.25)分,(55.37±5.25)分、(40.18±5.22)分,两组比较,差异有统计学意义(P<0.05);观察组术后4周生活质量量表(SF-36)评分为(83.44±6.72)分,对照组为(78.63±5.11)分,两组比较,差异有统计学意义(P<0.05)。观察组术后不良反应发生率(7.41%)比对照组(21.15%)低,两组比较,差异有统计学意义(P<0.05)。结论腰椎融合术病人术后应用标准镇痛联合盐酸度洛西汀镇痛能有效提升镇痛效果,减少阿片类药物使用,改善负面情绪及生活质量,降低术后不良反应发生率。

Controlled Fusion Strategy Using Ultra-Intense Laser Derived Positron Generation for Initiation

A controllable strategy for eliciting nuclear fusion is presented through ultra-intenselaser derived positron generation by a conceptual first physics perspective. The capability to generate positrons on demand in a controlled manner through an ultra-intense laser incident on a high atomic number target, such as gold, is the intrinsic core to the foundation of controllable nuclear fusion. Positron antimatter generated from the periphery of the fusion fuel pellet provides the basis for initiating the fusion reaction, which is regulated by controlling the operation of the ultra-intense laser. A dual pulsed Fast Ignition mechanism is selected to achieve the fusion reaction. Based on first physics performance analysis the controllable strategy for eliciting nuclear fusion through ultra-intenselaser derived positron generation offers a realizable means for achieving regulated nuclear fusion. A future perspective of the controllable fusion strategy addresses the opportunities and concerns of a pathway toward regulated nuclear fusion.

混合动力汽车转向稳定性多传感器融合控制技术

为了满足汽车行驶稳定性要求,当前依托于单一传感信息进行转向控制,容易忽略很多影响因素,使得控制后汽车转向质心侧偏角依旧较大。因此,混合动力汽车提出转向稳定性多传感器融合控制技术。考虑混合动力汽车转向过程中的动态特性,构建转向动力学模型,并计算出车辆理想横摆角速度。深入分析横摆角速度、滑移率对车辆转向稳定性的影响,得出期望的横摆力矩和滑移率调整力矩。将汽车转向稳定性控制问题看作二次规划问题,结合BP神经网络和常规PID控制器,设计转向稳定性控制算法,利用车辆转向参数的理想值、实际值和偏差值推算出稳定性控制参数。结合融合多传感器实时采集信息,推算出汽车转向姿态误差代入控制结构中,给出优化后的控制参数。实验结果表明:新提出的控制技术应用后,车辆转向的质心侧偏角不超过±0.012 rad/s,满足了混合动力汽车转向行驶要求。

Outer Loop Power Control Algorithm Based on T-norms Information Fusion Technology in TD-SCDMA

An outer loop power control algorithm based on triangle norm(t-norm) information fusion technology is proposed in this paper.According to the difference between block error rate and bit error rate with target values,the membership function calculation and level dividing of the two differences are dealt with.And then t-norm operator is used to fuse the two membership function values to determine the adjustment step-size.The algorithm can acquire the optimal adjustment step-size in the light of the channel status and avoid the overshoot phenomenon of the existing outer power control methods.As a result,the block error rate can converge to the target value quickly.Experiment results verify the excellent property of the algorithm.

基于前馈神经网络井控多属性融合的断裂识别方法

塔里木盆地碳酸盐岩断控缝洞型油气藏埋藏深度大、构造复杂,且断裂高度发育,断裂是研究区域内成藏主控因素及可能的油气运移通道,对其空间展布位置及发育强弱的预测至关重要。断裂检测属性众多,不同断裂检测属性由于计算方法不同表征的断裂尺度及特征存在一定的差异性,且常规属性检测忽视了测井信息的利用与约束,为了获取更加全面、准确的断裂预测结果,本文优选多类断裂检测属性,并结合测井数据作为先验信息,利用前馈神经网络算法进行属性融合。首先优选AFE、likelihood、倾角等多类具有不同特征的断裂属性,结合测井放空漏失数据、成像测井信息及地震同相轴错段情况作为断裂发育类型判别条件建立了断裂特征识别样本库;在样本库基础上进行深度前馈神经网络训练,对比测试了不同隐含层深度条件下的学习效果,获取预测误差最小的神经网络预测模型;最后将神经网络预测模型应用于全工区断裂预测。经对比分析,认为深度学习融合属性预测断裂与测井解释结果更为吻合,且能综合不同尺度特征的断裂信息,有效提升了预测准确度和可靠性。

颠覆性能源技术赋能新质生产力的逻辑机理与作用路径

面向新一轮科技革命和产业革命,颠覆性能源技术在新质生产力的培育形成和现代产业体系的构建过程中发挥着核心动力作用。同时,面向碳达峰碳中和的国际环境和日益激烈的国际竞争,我国要实现从能源大国到能源强国的转变,以及新旧能源的有序衔接,关键在于颠覆性能源技术的培育、形成和效用发挥,但如何科学地认知颠覆性能源技术,其赋能新质生产力的逻辑机理和作用路径有待进一步探究。因此,本文从颠覆性能源技术的内涵、外延出发,梳理了颠覆性能源技术与新质生产力的相关文献,提炼了颠覆性能源技术的特性与模式,进一步结合新质生产力的培育形成过程,从颠覆性能源技术推动能源结构优化、产业结构深度转型升级、生产要素优化组合三方面赋能新质生产力的全过程厘清了颠覆性能源技术赋能新质生产力的逻辑机理,提出了颠覆性能源技术与新质生产力之间的赋能闭环。在此基础上,结合能源行业发展现状与未来趋势,进一步选取大规模绿电绿氢、CCUS、可控核聚变三类颠覆性能源技术探讨了其赋能新质生产力的作用路径,验证了二者赋能的逻辑机理。通过颠覆性能源技术赋能新质生产力的机制研究和实例验证探讨了二者赋能的逻辑机理与作用路径,可为颠覆性能源技术的产出和新质生产力的培育形成提供参考借鉴。

基于感知融合的隧道车道控制系统设计

文章提出一种基于感知融合的隧道车道控制系统,并详细讨论了系统的设计方法。首先,设计了自适应控制系统框架,并分析了每个模块的功能。其次,详细讨论了隧道车道控制系统设计的关键技术。最后,研究了基于感知融合的车道控制方法。

运动调控线粒体动力学变化的研究进展

背景:线粒体质量控制是一个复杂的过程,该过程涉及到线粒体生物发生、线粒体动力学变化、线粒体自噬三个方面,其中线粒体动力学变化是线粒体生物发生和线粒体自噬的中间环节,线粒体通过动力学变化改善自身质量控制,进而维持线粒体稳定状态。目的:探究运动影响线粒体动力学变化的分子机制,为运动改善线粒体网络稳态,进而促进功能健康提供理论依据。方法:利用文献资料法,以“运动,线粒体稳态,线粒体质量控制,线粒体动力学,线粒体融合,线粒体分裂”等为中文关键词检索中国知网(CNKI),百链云图书馆等中文数据库;以“Exercise,Mitochondrial homeostasis,Mitochondrial quality control,Mitochondrial dynamics,Mitochondrial fusion,Mitochondrial fission”等为英文关键词检索PubMed、Web of Science、EBCSO等英文数据库,对最终获取的文献进行筛选、阅读、归纳和总结。结果与结论:线粒体动力相关蛋白1/2(Drp1/2)负责线粒体分裂过程,线粒体融合蛋白1/2(Mfn1/2)以及视神经萎缩1(Opa1)分别介导线粒体外膜和内膜的融合。运动训练可以通过上调Mfn1/2和Opa1的蛋白表达,同时下调Drp1蛋白表达水平,促进线粒体融合过程,并抑制线粒体分裂来改善线粒体功能状态;一次急性运动影响线粒体动力学变化的研究结论存在争议;另外,运动介导线粒体动力学变化存在组织差异性。

基于人工智能技术的机器人运动控制系统设计

设计一种基于人工智能技术的机器人运动控制系统,确保机器人更好地理解人类的意图,并提供更加人性化的服务。该系统通过运动数据采集与传输组件连接机器人的轴电机,采集机器人当前运动数据后,将其传输到控制器组件内,控制器组件依托X86架构工控机,使用PIC总线将采集到的机器人当前运动数据发送到基于人工智能技术的机器人运动路径规划模块内。该模块运用人工智能技术中的A*算法获取机器人轨迹路径规划结果后,依据该路径规划结果,将人工智能技术中的神经网络和模糊B样条基函数相结合,建立模糊B样条基函数神经网络控制器。该控制器输出机器人运动控制指令,并发送给伺服驱动器组件,伺服驱动器负责驱动机器人轴电机,控制机器人运动。实验结果表明:所设计系统具备较强的机器人路径规划能力,可在复杂路径情况下实现机器人运动控制,且控制精度和控制阶跃响应能力均较强。

新发展阶段我国体卫融合的内在逻辑与价值使命

面对人类疾病谱的变化,“深化体卫融合,推动健康关口前移”是应对未来疾病防控的全新趋势,更是实现健康中国、体育强国建设目标的重要支撑。研究认为:依据体育和医疗卫生在健康促进方面的服务侧重点,厘清了处于健康状态时需要以“体育为主、医卫为辅”的主动性预防,亚健康状态时需要“体育与医卫相互调整”的协调性预防或“医卫治疗、体育调节”的沟通性防治,以及不健康状态时需要以“医卫治疗为主、体育康复为辅”的通力配合的体卫融合的内在逻辑;提出了体卫融合的价值使命,即把握健康促进新认知、应对慢性疾病防控新变化、转变医疗卫生新角色、肩负体育责任新使命。