摘要：在 GPS 应用程序的一个重要问题是怎么追踪 GPS (全球放系统) 在低 carrier-to-noise 比率(C/N ) 下面精确并且连续地发信号。在这份报纸，一个适应地柔韧的过滤器基于低 C/N 搬运人阶段锁循环(PLL ) 在一个 GPS 软件接收装置平台下面被开发。就传统的追踪循环上的低 C/N 搬运人信号的效果而言，追踪循环的平行关联被建立。一个线性最佳的评估者被设计在 kinematics 模型和大小处理依赖噪音。而且，一个适应地柔韧的过滤器基于三片断功能被设计调整因素。当收到的信号在有利条件下面时，新过滤器的表演很类似于一个标准 Kalman 过滤器。为追踪的一个实际弱搬运人，这新提高的 PLL 聪明地根据全部的阶段神经质分析调节循环参数。它成功地由适应地平衡更新的动态模型状态和大小的影响抵抗孤立点和动态模型错误。新过滤器的坚韧性和效率被测试实验的一些真实数据表明。结果证实有追踪循环的这个适应地柔韧的阶段的阶段错误的标准差能在 24 dB-Hz 附近与卫星 C/N 比率到达 0.01 个周期，它显著地改进表演。

摘要：In this paper,an improved mean-square exponential stability condition and delayed-state-feedback controller for stochastic Markovian jump systems with mode-dependent time-varying state delays are obtained. First,by constructing a modified Lyapunov-Krasovskii functional,a mean-square exponential stability condition for the above systems is presented in terms of linear matrix inequalities (LMIs). Here,the decay rate can be a finite positive constant in a range and the derivative of time-varying delays is only required to have an upper bound which is not required to be less than 1. Then,based on the proposed stability condition,a delayed-state-feedback controller is designed. Finally,numerical examples are presented to illustrate the effectiveness of the theoretical results.

摘要：A homogeneous and lattice self-reconfigurable robot module is designed, and each module is composed of a center body and six connection planes which can independently rotate. A module can independently connect or disconnect with other modules, and then change its connection by collaborating with other modules. We discuss how to describe and discover configuration of robot. Furthermore, we describe its motion planning based on the appraisal function and the adjacency matrix which is effective to solve the computationally difficult problem and optimize the system motion path during the self-reconfiguration process. Finally, a simulation experiment is demonstrated, which verifies the correctness of locomotion method.

摘要：本文通过人工神经网络方法实现多次搭接激光冲击作用下材料残余应力与显微硬度的预测。以镍基粉末冶金高温合金FGH95为实验材料,基于正交实验设计的思路,确定了多次搭接激光冲击强化的实验参数。利用X射线应力测量仪和显微硬度计分别测量了实验试件激光冲击强化处理前后的残余应力和显微硬度分布,并对残余应力和显微硬度变化规律进行了简要分析。构建了4层网络结构(4-N-(N-1)-2)的人工神经网络预测模型,其中输入为激光能量、光斑搭接率、冲击次数和深度,输出为残余应力和显微硬度。对不同网络结构的预测性能进行了比较和分析。在最优的模型下(网络结构为4-7-6-2),预测值与实验值十分吻合,预测效果极佳。此外,基于人工神经网络的方法,还研究了激光冲击强化工艺参数对材料响应的影响。研究表明,在实验数据较为缺乏的情况下,人工神经网络是预测多次搭接激光冲击作用下材料残余应力和显微硬度的有效方法。

摘要：Cough is a defensive behavior that protects the respiratory system from infection and clears airway *** airflow dynamics have been analyzed by a variety of mathematical and experimental *** this paper,the cough airflow dynamics of 42 subjects were obtained and *** identification model based on piecewise Gauss function for cough airflow dynamics is proposed through the dimensionless method,which could achieve over 90%identification ***,an assisted cough system based on pneumatic flow servo system is *** vacuum situation and feedback control are used to increase the simulated peak cough flow rate,which are important for airway secretion clearance and to avoid airway collapse,*** simulated cough peak flow could reach 5 L/s without the external assistance such as manual pressing,patient cooperation and other ***,the backstepping control is developed to generate a simulated cough airflow that closely mimics the natural cough airflow of *** assisted cough system opens up wide opportunities of practical application in airway secretion clearance for critically ill patients with COVID 2019 and other pulmonary diseases.

摘要：为了提高六自由度轻量型机器人的轨迹跟踪精度同时减小其同步误差,提出一种基于相邻耦合误差分析的非线性PD偏差耦合同步控制方法。建立并验证了该机器人的数学模型,包括运动学模型、动力学模型以及样条轨迹规划。因为难以描述复杂轨迹下的机器人实时轮廓误差,因此本文引入相邻耦合误差来解决这一问题。结合机器人非线性控制以及耦合特性,设计了非线性PD偏差耦合同步控制器,并通过仿真分析进行验证。伺服控制试验系统由激光跟踪系统、机器人机械系统以及基于EtherCAT通讯的伺服控制系统构成,实验数据表明,该控制方法可使机器人同步误差大幅度减小,并且最大跟踪误差由0.33 mm缩减到0.1 mm。实验结果验证了控制算法的有效性,从而证明了该控制策略能够有效改善机器人的轨迹跟踪精度。

摘要：Impact testing is a primary method to evaluate the impact property of resistance spot welding,which is an important quality index in automotive *** testing impact properties of spot welds,many customized testers have been *** paper summarized some of the impact testers reported in open literatures and the emphasis was placed on the equipment structures,functions,technical parameters,advantages and disadvantage,*** key issues about the development of the testers such as kinematic energy input mode,fixture design,combined load testing,sensor and data acquisition were ***,the problems and prospects in the research and development of impact testers for spot welds were pointed out.

摘要：This paper proposes an additive nanomanufacturing approach to fabricate a personalized lab-on-a-chip fluorescent peptide nanoparticles (f-PNPs) array for simultaneous multi-biomarker detection that can be used in Alzheimer’s disease (AD) diagnosis. We will discuss optimization techniques for the additive nanomanufacturing process in terms of reliability, yield and manufacturing efficiency. One contribution of this paper lies in utilization of additive nanomanufacturing techniques to fabricate a patient-specific customize-designed lab-on-a-chip device for personalized AD diagnosis, which remains a major challenge for biomedical engineering. Through the integrated bio-design and bio-manufacturing process, doctor’s check-up and computer-aided customized design are integrated into the lab-on-a-chip array for patient-specific AD diagnosis. In addition, f-PNPs with targeting moieties for personalized AD biomarkers will be self-assembled onto the customized lab-on-a-chip through the additive nanomanufacturing process, which has not been done before. Another contribution of this research is the personalized lab-on-a-chip f-PNPs array for AD diagnosis utilizing limited human blood. Blood-based AD assessment has been described as “the holy grail” of early AD detection. This research created the computer-aided design, fabrication through additive nanomanufacturing, and validation of the f-PNPs array for AD diagnosis. This is a highly interdisciplinary research contributing to nanotechnology, biomaterials, and biomedical engineering for neurodegenerative disease. The conceptual work is preliminary with intent to introduce novel techniques to the application. Large-scale manufacturing based on the proposed framework requires extensive validation and optimization.

摘要：管状组织大段缺损的重建是临床治疗上的一个难题.如何设计并制备具有理想结构的功能管状支架用于管状组织修复仍然是再生医学中的一个主要挑战.本研究采用4轴打印系统快速地制备了具有多级结构的管状组织工程支架,该方法适用于多种生物材料,如水凝胶、热塑性生物材料以及热固性生物材料.以聚己内酯(PCL)为例,我们成功制备了管状结构可调、类编织网格结构可控,径向弹性、轴向柔性及管腔开放性良好的支架.作为管状组织再生的初步应用,我们利用4轴打印技术制备了聚癸二酸甘油酯(PGS)的热固性生物弹簧,并与静电纺技术相结合制备了杂化的PGS/明胶纳米纤维管状支架.该支架接种软骨细胞后在体外培养和裸鼠皮下植入均可形成成熟的管状软骨组织,有望应用于气管软骨重建.