A Novel Prescribed-Performance Path-Following Problem for Non-Holonomic Vehicles

The issue of achieving prescribed-performance path following in robotics is addressed in this paper,where the aim is to ensure that a desired path within a specified region is accu-rately converged to by the controlled vehicle.In this context,a novel form of the prescribed performance guiding vector field is introduced,accompanied by a prescribed-time sliding mode con-trol approach.Furthermore,the interdependence among the pre-scribed parameters is discussed.To validate the effectiveness of the proposed method,numerical simulations are presented to demonstrate the efficacy of the approach.

Research on the Performance Evaluation and Advancing Path of Henan Agricultural Products E-marketing

Given that the traditional marketing management of agricultural products has been unable to meet the diversified demands of market, and the network has been applied to the marketing field of agricultural products,the research on the performance evaluation and advancing path of Henan agricultural products E-marketing is more important than before. Based on current problems of Henan agricultural products E-marketing,a system of performance evaluation is established,which covers website building and maintenance and other four first-class indexes as well as profit ratio of sales and other thirteen second-class indexes,and then the system is evaluated by comprehensive evaluation method. Meanwhile,it is explored to discuss how to further advance Henan agricultural products E-marketing.

Knowledge and data jointly driven aeroengine gas path performance assessment method

Aeroengines,as the sole power source for aircraft,play a vital role in ensuring flight safety.The gas path,which represents the fundamental pathway for airflow within an aeroengine,directly impacts the aeroengine's performance,fuel efficiency,and safety.Therefore,timely and accurate evaluation of gas path performance is of paramount importance.This paper proposes a knowledge and data jointly driven aeroengine gas path performance assessment method,combining Fingerprint and gas path parameter deviation values.Firstly,Fingerprint is used to correct gas path parameter deviation values,eliminating parameter shifts caused by non-component performance degradation.Secondly,coarse errors are removed using the Romanovsky criterion for short-term data divided by an equal-length overlapping sliding window.Thirdly,an Ensemble Empirical Mode Decomposition and Non-Local Means(EEMD-NLM)filtering method is designed to“clean”data noise,completing the preprocessing for gas path parameter deviation values.Afterward,based on the characteristics of gas path parameter deviation values,a Dynamic Temporary Blended Network(DTBN)model is built to extract its temporal features,cascaded with Multi-Layer Perceptron(MLP),and combined with Fingerprint to construct a Dynamic Temporary Blended AutoEncoder(DTB-AutoEncoder).Eventually,by training this improved autoencoder,the aeroengine gas path multi-component performance assessment model is formed,which can sufficiently decouple the nonlinear mapping relationship between aeroengine gas path multi-component performance degradation and gas path parameter deviation values,thereby achieving the performance assessment of engine gas path components.Through practical application cases,the effectiveness of this model in assessing the aeroengine gas path multi-component performance is verified.

Path analysis of desirable traits and evaluation of reproductive performance of Crassostrea sikamea in different ages

Kumamoto oysters(Crassostrea sikamea)are important marine aquaculture shellfish because of their taste and round shell shape.Due to its small size,selective breeding is required to improve its market size,but there are no reports on traits suitable for direction selection and reproductive productivity of Kumamoto oysters of different ages.In this study,path analysis and one-way ANOVA were used to explore the influential indices of oyster body weight and fecundity.The results showed that shell height was the main factor affecting the body weight of Kumamoto oysters at one-year-old and two-year-old,followed by shell length.Body weight was the main factor influencing fecundity,and shell height showed a significant correlation with fecundity.Therefore,shell height should be considered the first parameter for selection when selecting Kumamoto oysters for body weight as the direct selection target.When one-year-old and two-year-old Kumamoto oysters were selected as parents from Xiangshan Bay,hatching parameters and growth parameters of F1 generation larvae were measured.The fecundity and egg diameters were 1.72×10^(6)and 46.60±3.62μm,respectively,which were significantly greater than one-aged oysters(5.86×10^(5),40.26±3.52μm).The hatching parameters(fertilized egg size,fertilization rate,and hatching rate)and larval growth performance(D-stage veliger and veliger)were similar and did not differ significantly(P>0.05),and after metamorphosis,there was also no significant difference in shell height size at 40 days of age(P>0.05).Therefore,there was no significant effect of age on reproduction,larval development,and the early growth of Kumamoto oysters.These results could provide a basis for parental sources and proper traits for Kumamoto oyster selection,which is beneficial to developing and utilizing this excellent germplasm resource.

Effects of annealing treatments on forming performance of zirconium alloys

The effects of annealing treatments(ATs)on the microstructure of Zr-Sn-Nb alloy strips were studied.Based on the characteristics of strips for nuclear fuel assemblies,punching experiments were carried out and the formability of zirconium alloy strips was quantitatively evaluated.The results indicate that the proportions of small-angle grain boundaries of the zirconium alloy under conditions of annealing treatment at 580°C(ATⅠ)and annealing treatment at 620°C(ATⅡ)are 14.3%and 23.2%,respectively,while that of the as-received material is 12.4%.And the forming limit margin fields of the zirconium alloy under ATⅠcan reach 0.43%,while the values of the as-received material and the ATⅡare-0.35%and-2.8%,respectively.The annealing process affects the evolution process of the strip recrystallization texture and the grain size.Moreover,the total texture and pole density are closely related to the degree of anisotropy of the strip.Besides,the small-angle grain boundary affects the strain path and crack expansion of the necking unit during the strip punching process,while the grain size affects the hardening exponent of the material.

Influence of Strategy Selection of Dairy Enterprises on Performance

Dairy enterprises have to cope with intense market pressure and survival pressure.In such complex and competitive market environment,it is of great realistic significance for studying the influence of strategy selection of dairy enterprises on their performance.Through selecting 115 dairy enterprises,empirical analysis was made,and multiple linear regression model and structural equation model were established with the aid of SPSS and Amos software.Comparative analysis was carried out for performance of different strategy selection.Results indicate that dairy enterprises selecting vertical strategies obtain the best performance,followed by horizontal strategy,and the worst is multiple strategy,and the strategy selection exerts positive and direct influence on performance of dairy enterprises.

Cross-organizational cooperation of social responsibility is the driving research on enterprise environmental performance innovation

In this paper, the associated environmental governance is regarded as environmental performance quality, explore the integration of social responsibility for environmental performance across the organization cooperation innovation driven strategy, and the water pollution control as an example to explore optimization of environmental performance across the organization cooperation mechanism path, resolve cross-organizational collaboration interests and corporate environmental performance as a result of environment deterioration.

有机工质向心透平气动设计与性能优化研究

为提升有机工质向心透平的效率与性能,对400 kW有机工质向心透平进行了一维气动设计。在一维气动设计结果的基础上进行建模,并结合三维数值模拟预测了有机工质向心透平在设计工况下的性能。以向心透平等熵效率为目标,采用均匀试验法对动叶轮的子午流道进行优化设计。结果表明:与原始向心透平相比,优化后的向心透平流场压力分布层次更加分明,整体熵增减小,产生的摩擦损失、尾迹损失明显减小,叶片做功能力增大,向心透平内部的流动情况得到了改善,等熵效率由原来的82.33%提高到85.92%,输出功率也增大了18.04 kW。

乡村振兴视角下农村集体经济的发展路径探究

农村问题作为关系国家发展和乡村振兴的重要课题,其集体经济组织形式的合理性程度与其经济发展密不可分.借助乡村振兴视角,以内部控制理论对农村集体经济组织与经济绩效之间的关系进行实证分析.结果表明:部分农村集体经济组织之间的发展不均衡情况较为突出,且农村集体经济组织内部控制要素与经济绩效之间具有相关关系(p<0.01),其中内部环境和控制活动在p<0.01的水平下呈显著正相关,风险评估、资产负债率及距离则在p<0.01,p<0.05和p<0.01水平下呈显著负相关.因此,加强内部控制建设是农村集体经济组织发展的重要举措.

新时代政府绩效考评可持续运转的四维逻辑框架——基于广西实践的分析

政府绩效考评在落实党中央战略部署、提高治理绩效和推进中国式现代化方面,具有重要的指挥棒作用。围绕政府绩效考评的可持续运转这个核心问题,以广西政府绩效考评实践为例,研究发现政府绩效考评的四个关键运作机制,即坚持党的领导和人民性的政治驱动、优化设置组织机构和进行制度设计、基于技术路线和理论基础设计考评指标体系、奖惩机制注重考评结果运用。由此建构出政府绩效考评可持续运转的四维逻辑框架,即政治驱动逻辑、组织优化逻辑、技术理论逻辑、结果奖惩逻辑。为了不断完善优化政府绩效考评体系,还需理顺多方主体关系、优化考评内容和指标、统筹共享多种考评结果、处理好灵活性与法治化的辩证关系等。

高校绩效管理的内涵、实践误区与匡正路径

高校绩效管理是“舶来品”,它来源于公共管理部门,因此与新公共管理理论和泰勒的科学管理理论有着必然的联系。近年来,以绩效考核为核心的绩效管理模式在我国高等教育领域中已成普及之势。一定时期内这种绩效管理模式对我国高等教育发展起到了积极作用,助推了不少高校在短时间内得到快速成长。但随着时间的推移,问题也逐渐显现。虽然这与绩效管理这种模式的本身有关,但更主要的还在于人们对其认识上的不足或实践中的偏差。这种认识上的不足或实践中的偏差主要反映在对绩效管理内涵的理解、实施的路径和方法以及结果的使用等方面。对高校绩效管理在实践过程中存在问题的反思与匡正路径的建议,有助于高校正确把握绩效管理的内涵和精髓,为完善高校治理体系和提高治理能力发挥出积极作用。

我国跨境电商企业创新绩效提升组态路径研究——基于模糊集定性比较分析(fsQCA)

为促进跨境电商企业的创新发展,基于资源基础理论和资源依赖理论,以142家跨境电商企业为研究样本,运用模糊集定性比较分析(fsQCA)方法,从企业内部资源与外部环境出发,研究跨境电商企业创新绩效的组态路径和作用机制。研究结果表明:我国跨境电商企业产生高创新绩效的路径有两条,即人财-竞争并重型和竞争-财力并重型,产生非高创新绩效的路径有3条;通过对组态路径的分析发现,财力资源、人力资源和企业竞争地位在促进跨境电商企业创新绩效中具有重要作用。研究结论有助于深化对多要素配置下企业创新绩效复杂影响机制的认识,并为跨境电商企业提升创新绩效提供借鉴。

自动化行政法律风险及优化路径研究

将互联网、大数据、云计算、人工智能等数字技术广泛应用于政府自动化行政过程之中,对推进政府决策科学化、社会治理精准化、公共服务高效化,实现政府治理信息化与法治化的深度融合,具有十分重要的作用和意义。通过自动化法律风险的样态观察,自动化行政存在算法引发的风险、责任认定引发的风险及数据和个人隐私引发的风险等法律风险。风险存在的主要原因在于存在过程不确定性、结果偏向性的算法黑箱困境,以及新技术应用导致“工具思维”的依赖盲从和传统“权力-权利”观的失衡等带来的思想冲击。为化解自动化行政法律风险,提出优化路径:明确自动化行政责任划分,唤醒人的主体意识,于责任承担层面需严格划定责任性质;保障行政相对人的程序参与权,并对其权利进行救济;算法全透明公开,使其更加符合行政法中程序正当的要求;设立独立审查监督机构,防止行政机关不作为或权力滥用和数据流失。

室外换热器可变流路设计及试验分析

为了确定制冷与制热模式下换热器的最优流路,建立了空调室外机的蒸发器/冷凝器仿真模型,并将换热器仿真模型耦合入系统仿真中,分析了不同流路对系统换热量及系统性能的影响,以确定换热器在制冷与制热模式下所对应的最优流路。结果表明,当分路数在5~20范围内变化时,在制冷模式下整机能力及性能随着分路数增大而减小,在制热模式下整机能力及性能随着分路数增大呈现先增加后减小的趋势;制冷模式下的优选分路数为5~7路,制热模式下的优选分路数为14~16路。在此基础上,通过单向阀与电磁阀设计了制冷/制热模式下室外机运行分路数为7路/14路的可变流路方案,试验测试结果表明,各测试工况下能效均有提升且全年能源消耗能效(APF)提高5.4%,超低温为-15℃时制热量提升6.0%,性能提升2.8%。本文研究结果可为换热器设计优化领域的研究人员提供参考。

公立医院绩效评价PATH优化模型指标体系的构建

目的构建适用于三级公立医院的绩效评价体系,为医院开展绩效考核与管理工作提供决策参考。方法应用文献法、个人访谈法和头脑风暴法构建评价模型和初始指标库,运用德尔菲法和层次分析法确定指标及其权重。结果运用医院质量改进的绩效评价工具(The Performance Assessment Tool for Quality Improvement in Hospitals,PATH)理念构建了以病人为中心、以员工为导向、医疗效果与效率、运营管理、社会责任、卓越提升6个核心维度的三级公立医院绩效评价指标体系。结论指标体系的可信程度、权威性较高,具有较好的适用性。

考虑参数不确定性的无人车预设性能路径跟踪控制

为保证无人车在参数不确定性影响下的路径跟踪具有预设控制精度,提出一种具有预设跟踪误差性能的路径跟踪输出反馈控制方法。根据横向预瞄偏差建立了路径跟踪二阶误差积分系统,在考虑轮胎侧偏刚度参数摄动及车辆横向速度未知的情况下,利用扩张状态方法建立了含有复合未知项的控制模型,再通过设计线性扩张状态观测器对系统未知状态和模型不确定项进行估计,并进一步证明了观测误差的一致有界收敛性。针对无人车路径跟踪瞬态和稳态性能无法满足预设精度的问题,结合观测器估计值提出了一种具有预设性能的路径跟踪输出反馈控制器,并根据Lyapunov理论对闭环系统稳定性进行了严格证明。Matlab/Simulink仿真结果表明,所设计的控制策略能保证车辆以预设控制性能跟踪上期望路径,进一步在硬件在环仿真试验台上进行验证,结果表明所设计方案能严格保证横向跟踪偏差位于安全边界之内并具有较强的鲁棒性。

公立医院绩效评价PATH优化模型实证研究——基于齐齐哈尔市第一医院的实践

目的验证公立医院绩效评价"PATH优化模型"指标体系的可行性。方法按照指标要求进行数据采集与测算,根据医院实际情况确定指标值,进行模型模拟,测算结果,论证模型的可行性。结果公立医院绩效评价"PATH优化模型"在稳定的评价维度下,指标设计具有一定的灵活性,医院可根据阶段性目标的达成情况对指标进行动态调整;在规范化管理基础较好、绩效管理信息系统建设完善的医院,指标数据的收集可实现准确、便捷。结论公立医院绩效评价"PATH优化模型"具有较好的可行性。

图论在网络的可靠性分析中的应用—对基于1-critical-pathsubset网络的性能分析

本文对一种网络流模型的可靠性进行分析 .在这个模型中 ,我们考虑一对源节点和汇节点的图 ,它的弧是随机失效的 .当网络最大流大于正常工作流 ,我们就说系统是正常工作的 .考虑正常工作流的一种特殊情况 ,这里 ,所有的弧都具有相同的容量 .在这种特殊的情况中 ,潜在的系统是 1- critical的 ,也就是说 ,所有的弧的最小截大小为 2 .此时 ,问题转化为在有向图中 ,求所有的失效弧都在同一条路径上的概率 。

基于PATH模型建立我国公立医院绩效评价体系

目的 :从政府监管角度探索建立我国公立医院绩效评价体系。方法 :通过文献回顾归纳分析我国公立医院绩效评价体系的相关研究,初步建立评价框架和指标库;开展专题小组讨论和专家研讨筛选指标并完善评价体系。结果 :基于PATH模型建立了我国公立医院绩效评价体系,该体系包括病人为中心、员工导向、临床效果与安全、效率和持续发展的5个一级指标,12个二级指标,21个三级指标。结论 :该评价体系从多个维度评价医院的发展情况,可以为不同地区建立公立医院绩效评价体系提供有益参考,并成为卫生管理部门监管公立医院的有效工具。

新形势下我国体育竞赛表演产业高质量发展创新路径研究

体育竞赛表演产业已成为体育产业多元融合向纵深发展的新动力,是带动我国体育产业发展的新引擎,创新是实现体育竞赛表演产业高质量发展的关键.结合我国国情和经济发展的新形势,针对体育竞赛表演产业产值不高、产业持续发展动力不足、品牌赛事引领作用不强、竞赛质量整体不高及赛事监管工作缺失等问题,利用资源、区位、环境、国情等优势,围绕创新发展关键,通过发挥政府主导性、加强产业融合创新,全力推进政策落地、加强推进措施创新,注重人力资源开发、加强人才培养创新,注重资源整合、加强赛事发展创新,发挥多元化媒介优势、加强营销宣传推介创新,强化赛事监管责任、加强制度标准建设,推动我国体育竞赛表演产业高质量创新发展.