mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Structural Damage Recognition Based on Perturbations of Curvature Mode Shape and Frequency

A new method for structural damage identification is presented based on perturbations of curvature mode shape and frequency. Firstly, the structure's mass and stiffness matrices are expressed as functions of its elements' physical parameters, which reflect their damage states. According to differences in the curvature mode shape of the structure in undamaged and damaged states, possible damage equations and determined damage equations are established and used to solve for the elements' damage parameters. Then, to ensure the accuracy of the recognition result, a reasonable solution is substituted into a damage-checking equation based on the change of frequency of the damaged structure. Numerical examples are used to show that, to identify the damage, only one order mode needs to be tested. When the degree of damage is low, first-order perturbation equations can be used to recognize the damage with sufficient accuracy. If the extent of the damage is high, second-order perturbation equations can be used to provide more accurate identification results.
Effect of esculetin on bone metabolism in ovariectomized rats

OBJECTIVE: To determine the effect of an esculetin formulation (at 97.4 %purity) on osteoporosis, and to investigate the potential underlying molecular mechanism(s). METHODS: Sixty specific pathogen free-grade female Wistar rats were randomly assigned to three groups: blank control (n = 12), sham (n = 12), and model (n = 36). The model group were bilaterally ovariectomized. The sham group had the tissue surrounding the ovaries removed, while the ovaries were retained. After 3 months, the model group was randomly divided into three subgroups: OVX (n = 12), positive control (n = 12), and esculetin (n = 12). The positive control group and the esculetin group were intragastrically administered diethylstilbestrol (0.046 mg·kg~(-1)·d~(-1)) or esculetin (384 mg· kg~(-1)·d~(-1)), respectively, once per day for 6 consecutive days; medication administration was then stopped for 1 d, before being administered for another 6 consecutive days. All rats were treated for 3 months. Samples were collected at the end of the treatment period. An Osteocore3 Digital 2D bone densitometer was used to test the bone mineral density, and histomorphometric analysis was performed to measure bone mass, bone formation, and bone resorption. Enzyme-linked immunosorbent assay analysis was used to measure the serum concentrations of interleukin-6 (IL-6), osteoprotegerin (OPG), and receptor activator of nuclear factor- kappa B ligand (RANKL). Immunohistochemistry and in situ hybridization were performed to detect the protein and mRNA expressions of OPG and RANKL in osteoblasts and bone marrow stromal cells. RESULTS: Compared with the OVX group, the esculetin group had significantly greater femoral bone mineral density and tibial trabecular bone volume, and significantly smaller trabecular resorption surface. The percentage of trabecular formation surface, average osteoid width, trabecular bone mineralization rate, and cortical bone mineralization rate did not significantly differ between groups. Compared with the sham group, the esculetin group had significantly decreased serum levels of IL-6 and RANKL, and significant downregulation of RANKL protein and mRNA expression levels in osteoblasts and bone marrow stromal cells; however, there was no significant difference between groups in OPG. CONCLUSION: Esculetin can increase bone mass by upregulating RANKL expression in osteoblasts and bone marrow stromal cells, and decreasing serum IL-6 concentration. This indicates that the therapeutic effect of esculetin on osteoporosis occurs via decreased bone resorption.
Implementation of Efficient B2G and V2G in Practical Cases

in this paper,building to grid (B2G) and vehicle to grid (V2G) have been defined with clear and practical understanding.Both of them are new generation technologies which are the essential part of smart city living and crowd energy clustering.Firstly,an in-detailed overview has been provided with an introduction to B2G and V2G followed by a historical overview and theoretical analysis in respect to smart city planning.Next,a review is conducted on current and previous smart living research,which deals with B2G and V2G.Efficient B2G and V2G implementations in practical cases then have been discussed.Lastly,both of these technical prospects have been analyzed in crowd energy diagram.
腹主动脉瘤髂内动脉平行支架重建VIABAHN覆膜支架绞锁及解脱

在腹主动脉瘤采用平行支架技术重建髂内动脉时可能会发生覆膜支架绞锁,我们成功处理一例,现总结经验报道如下。
加速康复理念对2型糖尿病患者胃袖状切除术后机体炎症反应和免疫功能的影响

本研究以加速康复外科(enhanced recovery after surgery, ERAS)在胃袖状切除术患者中的应用来探讨ERAS对胃袖状切除术后机体的炎症反应和免疫功能变化的影响。
Ecosystem carbon stock of a tropical mangrove forest in North Sulawesi, Indonesia

Recent studies have highlighted the valuable role played by mangrove forests in carbon sequestration and storage. Although Indonesia accounts for a large proportion of global mangrove area, knowledge on the carbon stock and sources in the Indonesian mangrove is still limited. In this study, we quantified the ecosystem organic carbon (OC) stock and its spatial variation at an oceanic mangrove in Wori, North Sulawesi, Indonesia. The sources of soil OC were also investigated. The results showed that the mangrove soil had a substantial OC stock containing 15.4 kg/m~2 (calculated by carbon) in the top 50 cm soil, and represented the majority of the ecosystem OC stock at the Wori mangrove. The mangrove biomass and ecosystem OC stock were 8.3 kg/m~2 and 23.7 kg/m~2, respectively. There was no significantly difference in the soil OC stock among the stations with difference distances offshore, while the highest mangrove biomass OC stock was found at the seaward station. Isotope mixing calculations showed that the rich OC in mangrove soils was attributed to the accumulated autochthonous mangrove source while the suspended organic matter in tidal water and the mangrove-adjacent seagrass contributed less than 20% to the soil OC. The results further demonstrated the importances of the oceanic mangrove in carbon storage and the mangrove plants in contributing OC to their soils.
Performance of WRF Large Eddy Simulations in Modeling the Convective Boundary Layer over the Taklimakan Desert, China

The maximum height of the convective boundary layer(CBL) over the Taklimakan Desert can exceed 5000 m during summer and plays a crucial role in the regional circulation and weather. We combined the Weather Research and Forecasting Large Eddy Simulation(WRF-LES) with data from Global Positioning System(GPS) radiosondes and from eddy covariance stations to evaluate the performance of the WRF-LES in simulating the characteristics of the deep CBL over the central Taklimakan Desert. The model reproduced the evolution of the CBL processes reasonably well, but the simulations generated warmer and moister conditions than the observation as a result of the over-prediction of surface fluxes and large-scale advection. Further simulations were performed with multiple configurations and sensitivity tests. The sensitivity tests for the lateral boundary conditions(LBCs) showed that the model results are sensitive to changes in the time resolution and domain size of the specified LBCs. A larger domain size varies the distance of the area of interest from the LBCs and reduces the influence of large forecast errors near the LBCs. Comparing the model results using the original parameterization of sensible heat flux with the Noah land surface scheme and those of the sensitivity experiments showed that the desert CBL is sensitive to the sensible heat flux produced by the land surface scheme during daytime in summer. A reduction in the sensible heat flux can correct overestimates of the potential temperature profile. However, increasing the sensible heat flux significantly reduces the total time needed to increase the CBL to a relatively low altitude(< 3 km) in the middle and initial stages of the development of the CBL rather than producing a higher CBL in the later stages.
深圳地区2型糖尿病分级诊疗认识与实践

我国2型糖尿病患病率正呈快速上升趋势,已成为第三大严重危害人民健康的慢性非传染性疾病.2010年调查结果显示,我国糖尿病估测患病率已达11.6%,所有患者中仅10.2%可获得良好血糖控制.糖尿病作为长期慢性疾病,综合管理主要有五个方面:包括饮食治疗、运动、药物治疗、血糖监测和健康教育.血糖管理不到位,会导致各种组织,特别是眼、肾、心脏、血管、神经的慢性损害.一旦出现慢性并发症,便很难逆转,因此早期诊断、有效治疗意义重大.循证医学研究证明,严格控制血糖,可显著降低糖尿病患者急、慢性并发症的风险;对早期糖尿病肾病、视网膜病变和糖尿病足患者采取特殊的干预措施,可以降低其致残率和病死率,有效减轻国家与家庭的疾病负担.血糖控制达标是预防糖尿病并发症的基础.不仅仅是为了降低血糖,更重要的是减少视网膜、肾脏等微血管并发症和心、脑血管等大血管并发症,降低死亡率.因此对2型糖尿病患者建立切合实际的管理体系和规范化的达标管理势在必行.
Structural and thermoelectric properties of copper sulphide powders

Over the past few years,Cu-based materials have been intensively studied focusing on their structural and thermoelectric properties.In this work,copper sulphide powders were synthesized by the sol-gel method.The chemical composition and the morphological properties of the obtained samples were analyzed by X-ray diffraction,differential thermal analysis,and scanning electron microscopy.It is shown that the decomposition from one phase to another can be obtained by annealing.The electrical resistivity and the crystallite size were found to be strongly affected by the phase transition.Thermoelectric analyses showed that the digenite phase exhibits the highest power factor at room temperature.The Seebeck coefficient of the compound Cu_(1.8)S shows a pronounced peak at the γ–β transition temperature.This behavior was statistically explained in terms of a dramatic increase in the disorder in the atoms-carriers ensemble.
Impact of design and process variation on the fabrication of SiC diodes

We have studied the influence of design and process variations on the electrical performance of SiC Schottky diodes. On the design side, two design variations are used in the active cell of the diode(segment design and stripe design). In addition, there are two more design variations employed for the edge termination layout of the diodes, namely, field limiting ring(FLR) and junction termination extension(JTE). On the process side, some diodes have gone through an N_2O annealing step. The segment design resulted in a lower forward voltage drop(V_F) in the diodes and the FLR design turned out to be a better choice for blocking voltages, in the reverse bias. Also, N_2O annealing has shown a detrimental effect on the diodes' blocking performance, which have JTE as their termination design. It degrades the blocking capability of the diodes significantly.
Advanced modulation formats for underwater visible light communications [Invited]

In this paper, we present a detailed comparison of applying three advanced modulation formats including carrierless amplitude and phase modulation (CAP), orthogonal frequency division multiplexing (OFDM), and discrete Fourier transform spread orthogonal frequency division multiplexing (DFT-S OFDM) in underwater visible light communication (UVLC) systems. Cascaded post-equalization schemes are suggested to compensate the system impairments. For the first time, a two-level post-equalizer is presented to mitigate the nonlinear effect and improve the system performance of UVLC. The first post-equalization is based on a novel recursive least square Volterra. These modulation formats are all experimentally demonstrated with corresponding digital signal processing (DSP) algorithms. The experimental results show that single carrier modulations including CAP and DFT-S OFDM can outperform OFDM. Our experiment results show that up to 3 Gb/s over a 1.2 m underwater visible light transmission can be achieved by using DFT-S OFDM 64QAM and CAP-64. The measured bit error rate is well under the hard decision-forward error correction (HD-FEC) threshold of 3.8 × 10~(-3).
A Method to Visualize the Skeleton Industrial Structure with Input-Output Analysis and Its Application in China, Japan and USA

The paper established a double filtering method (DFM) to visualize the skeleton industrial structure (SIS) of one economy and find its evolution rule. Different with the previous researches, this method is from a new view of industrial conjunctions combined by leading sectors to depict the industrial structure. It was proved that the leading sector selected by DFM must be key sector selected by Hirschman-Rasmussen method. Applied DFM to input-output tables of China, Japan and USA and MFA to Japan and USA, the results analysis showed that DFM could overtake the two main shortcomings of minimum flow analysis (MFA), scratch SIS of each economy with its own characteristics, visualize the general evolution rules of the industrial structure with crisscrossed conjunctions among leading sectors.
Sequential Fair Stackelberg Equilibria of Linear Strategies in Risk-Seeking Insider Trading

This paper develops a sequential fair Stackelberg auction model in which each of the two risk-seeking insiders has an equal chance to be a leader or follower at each auction stage. The authors establish the existence, uniqueness of sequential fair Stackelberg equilibria (in short, FSE) when both insiders adopt linear strategies, and find that at the sequential equilibria such two insiders compete aggressively that cause the liquidity of market to drop, the information to be revealed and the profit to go down very rapidly while the trading intensity goes substantially high. Furthermore, the authors also give continuous versions of corresponding parameters in the sequential FSE in closed forms, as the time interval between auctions approaches to zero. It shows that such parameters go down or up approximately exponentially and all of the liquidity of market, information and profit become zero while the trading intensity goes to infinity. Some numerical simulations about the sequential FSE are also illustrated.
A Maximum Principle for Fully Coupled Forward-Backward Stochastic Control System Driven by Levy Process with Terminal State Constraints

This paper is concerned with a fully coupled forward-backward stochastic optimal control problem where the controlled system is driven by Levy process, while the forward state is constrained in a convex set at the terminal time. The authors use an equivalent backward formulation to deal with the terminal state constraint, and then obtain a stochastic maximum principle by Ekeland's variational principle. Finally, the result is applied to the utility optimization problem in a financial market.
Mechanisms of Collaboration in the Hotel Supply Chain:Two-Stage Ordering Contract and Option Contract

This paper considers a hotel supply chain consisting of a hotel and an online travel agent(OTA)for the distribution of a limited number of rooms through both offline and online channels.Under the merchant cooperation assumption,to overcome the disadvantages of the decentralized decision model and demand uncertainty,two collaboration mechanisms,namely a two-stage ordering contract and an option contract,are introduced to increase the profit in the hotel supply chain.This paper investigates the optimal decisions of the hotel and the OTA under different contract models.Moreover,the authors analyze the effect of demand uncertainty and the interaction of demand variability and the hotel’s capacity on the profits of the hotel and the OTA under different models.The results show that both the two-stage ordering contract and the option contract can increase the profits of the entire supply chain and the hotel;however,the profit of the OTA can be increased through the two-stage ordering contract and option contract only when the hotel’s capacity is relatively small and the demand variability is big;otherwise,the two collaboration mechanisms cannot increase the OTA’s profit.
胡玲香教授针灸治疗顽固性面瘫经验初探

成都中医药大学附属医院胡玲香教授在穴位埋线及传统透刺法结合的基础上创建“面部交叉线”,此疗法运用于治疗顽固性面瘫患者后疗效显著。文章通过病因病机、针刺治法、针刺理法、中医护理、病案列举的方式,对胡玲香教授治疗顽固性面瘫进行了详细介绍,总结胡玲香教授治疗顽固性面瘫的经验,以期对该病的治疗和中医针灸学术发展的传承作出一定的贡献。
基于能力导向的《医古文》多元化教学实践研究

高等学校的根本任务是培养人才,质量是高等学校的生命线,切实提高教学质量是高等教育发展的根本需要。文章通过以提升学生阅读中医古籍文献能力为导向,在《医古文》教学中运用研究性课堂教学法、微课及翻转课堂教学法和慕课等多元化的教学方法,转变学生的学习方式,提升学习能力,提高课堂教学质量。重视中医古籍文献的学习研究,对于延续中医文化基因,萃取中医思想精华;培养学养深厚的中医药高级人才,弘扬中医药优秀传统文化有着积极意义。
单味红花酊维持血液透析患者动静脉内瘘正常功能的临床研究

目的观察分析临床上运用单味红花酊维持血液透析患者动静脉内瘘正常功能的临床疗效。方法根据随机原则将符合纳入标准的66例使用动静脉内瘘进行维持性血液透析的患者分为观察组(33例)和对照组(33例)。对照组患者常规处理后生理盐水湿热敷进行治疗,观察组患者常规处理后单味红花酊湿热敷进行治疗,治疗90天后观察对比两组患者的临床疗效、血浆hs- CRP水平及并发症的发生情况。结果观察组临床治疗总有效率(87.88%)显著高于对照组(P < 0.05);与对照组比较,观察组hs- CRP的含量显著降低(P < 0.05);对照组患者中并发皮肤红痒2例,并发症发生率为6.67%,观察组未出现并发症。结论临床上运用单味红花酊可降低血栓形成,减轻内瘘狭窄,抑制局部炎症反应提高透析患者的生活质量,降低医疗费用,减少并发症,安全性较高,值得在临床中推广应用。
马比木药用部位与非药用部位体外抗氧化活性分析

目的探索马比木药用部位根与非药用部位茎的抗氧化活性作用。方法马比木根与茎分别静置、超声及回流提取,从而得到醇提液,通过清除1,1-苯基- 2-苦基肼(2,2- Diphenyl- 1- picrylhydrazyl,DPPH)自由基、羟基自由基(·OH)及探寻总超氧化物歧化酶(T-SOD)清除O_2-自由基的能力,以此考察马比木根与茎提取液的体外抗氧化活性。结果马比木的根与茎提取液对DPPH、·OH、O_2-自由基具有一定的清除及体外抗氧化作用,对三种不同自由基其清除能力为SOD >·OH > DPPH,且根、茎清除的IC50值分别为: 20μg和26.8μg,83.6μg和39.2μg,137.2μg和52μg。结论马比木茎提取液体外抗氧化活性优于根提取液。实验结果马比木非药用部位的开发利用提供了一种可能,既减少了马比木资源的浪费和环境的容载量,又使得马比木资源能得到充分的利用提供一种可能。
传统胃镜下幽门螺杆菌感染表现

幽门螺杆菌(Helicobacter pylori,HP)感染在慢性胃炎、消化性溃疡、黏膜相关淋巴组织淋巴瘤和胃癌等疾病的发生中起重要致病作用,诊断HP感染是众多胃肠道疾病诊治方案的重要组成部分和关键环节。临床中有多种方法诊断HP感染,但缺乏统一金标准。随着胃镜检查技术的发展和成熟,通过传统胃镜、窄带成像和高分辨率内镜检查技术对胃黏膜形态的分析,能够有效诊断HP感染。本文就传统胃镜下HP感染的一些特征表现及根除治疗后表现进行综述,旨在提高诊断HP感染的准确性,为临床医师制定有效的治疗方案提供重要的参考依据。
髂静脉受压综合征的支架治疗

髂静脉受压综合征(iliac vein compression syndrome, IVCS)泛指在盆腔内的髂静脉受邻近组织压迫(主要指左髂总静脉在右髂总动脉和第五腰椎之间受压),持续的压迫及动脉搏动引起静脉内膜增生和纤维化,导致静脉管腔狭窄或闭塞,从而造成静脉回流受阻、静脉高压及下肢慢性静脉功能不全(chronic venous insufficiency,CVI),并由此引发的一系列临床症状。临床表现主要为慢性下肢静脉功能不全,进行性加重的肿胀、疼痛、浅静脉曲张、色素沉着、溃疡及下肢深静脉血栓形成(deep vein thrombosis, DVT)等,极大地危害人类的健康[1]。有文献称,IVCS的发生率为20%~34%,其中右侧IVCS的报道较为罕见,多见于男性,主要与男性骨盆的形状有关[2]。IVCS的传统治疗手段主要包括保守治疗、开放手术治疗和腔内治疗。近年来,随着腔内技术和器材的飞速发展,血管腔内治疗已经成为IVCS治疗的首选[3]。然而,尽管国内外针对IVCS的腔内治疗已达成部分共识,但仍尚存在着诸多争议。本文就IVCS腔内治疗尤其是支架置入上的热点和争议进行讨论和综述,旨在总结和归纳IVCS诊治的要点。
绿色化学与绿色分离工程

随着人们对环境质量的要求不断提高，绿色化学用为一种环境无害的技术，已备受世人关注。对绿色化学与技术的研究方兴未艾，在绿色化学与技术的重要性方面，人们已达成共识。本文系统介绍了绿色化学的定义及其研究进展，并非其基础上提出绿色分离工程的概念。同时，探讨了分离工程绿色化的实现方法。
松节油改性聚氨酯涂料的合成研究

以松节油为基本原料，通过D-A加成反应和聚酯化反应合成了松节油伯羟基聚酯多元醇，并用多异氰酸酯组分将其交联固化，制备了松节油改性聚氨酯涂粒。重点讨论了不同原料配比、反应时间等因素对聚酯化反应的影响，并对松节油改性聚氨酯涂料的性能进行了测试。
催干剂对氨基环氧树脂阴极电泳漆的影响

以氨基环氧树脂为基体树脂，Co~2+、Pb~2+盐为催干剂合成了阴极电泳漆，并对膜性能进行考察。结果表明，所合成的阴极电泳涂料在pH值为6～7、电泳时间2min的条件下。加入不同的催干剂，在不同的烘干温度下，得到性能不同的漆膜。经过漆膜综合性能试验，结果表明加入钴和铅复合催干剂，在160℃左右烘干20min，可得到完全固化、硬度较高、耐潮、耐盐、耐酸碱性较好的漆膜。
氧浓度对固定化黄孢原毛平革菌合成过氧化物酶的影响

氧浓度对固定化黄孢原毛平革菌(Phanerochaetechrysosporium)合成过氧化物酶有圈套的影响。限碳条件下培养黄孢原毛平革菌，生长阶段氧浓度对合成木质素过氧化物酶的影响不明显，但在产酶阶段氧浓度的影响却很大。21%氧浓度即空气环境是合成木质素过氧化物酶和锰过氧化物酶适宜的。增高氧浓度，胞外蛋白酶活力就会提高，不利于过氧化物酶的胞外累积。研究结果表明，空气环境下限碳培养黄孢原毛平革菌，合成的木质素过氧化物酶最高活力可达360 U/L，比通纯氧条件下限碳培养时的木质素过氧化物酶要高160%。
氢氧化钠预处理对木材漂白促进作用的研究

用NaOH的稀溶液处理泡桐木材，观察桐木渗透性、木材颜色的变化，并就碱液对泡桐木材漂白效果的促进作用进行了研究。结果表明NaOH的稀溶液对木材颜色没有明显损害作用，能显著提高桐木的渗透性，促进木材漂白效果。泡桐木材经过2 d的0.3% NaOH稀溶液预处理，再经2%的硫代硫酸钠漂白处理3 d，半年老化后测色，桐木表面和内部的白度和明度比末处理材显著提高，色差显著降低。
壳聚糖铜固定化多酚氧化酶的研究

通过壳聚糖上的-NH_2与Cu~2~+生成不饱和络合物，以高分子配位键法，对多酚氧化酶(PPO)固定化，实验结果表明这种方法是可行的。固定化多酚氧化酶的最佳pH值为6.24，在70℃放置25min后酶活力保留31.1%。讨论了固定化酶的重复使用性、米氏常数及底物对固定化酶的影响。
酚醛树脂浸渍木粉DTA/TG曲线解析

采用差热天平，对木粉酚醛树脂和酚醛树脂浸渍木粉进行测试，通过DTA/TG曲线分析，展示酚醛树脂浸渍木粉的热解动态，探讨了木质树脂复合炭材料的构造及性能。
我国森林资源化学利用的发展前景

森林资源化学利用是我国森林资源高效和持续利用的一个重要方面。在新的世纪里, 林产化学工业的发展将面临新的机遇和挑战。本文对其发展趋势进行了探讨, 并认为: 1.木材制浆造纸工业将逐步成为我国林产化学工业的支柱产业; 2.林产化学品生产将在不断创新的基础上进一步增长; 3.天然产物特别是天然药物的开发将进一步得到人们重视, 而成为森林资源化学利用的新领域; 4.木质能源和木质活性炭生产将进一步发展。
抗菌剂改性纤维素物料及其抗菌性能（Ⅰ）：抗菌剂吸附研究实验

对纤维素物料与表面活性抗菌剂的吸附性能进行了研究。抗菌剂系乙烯基吡咯烷酮与巴豆酸共聚物和二甲基苄基烷基氯化物的合成聚合物(具有广谱抗菌效果)及其较低分子量的类聚物(二甲基苄基烷基氯化物)。确定纤维素物料对活性抗菌剂具有可逆吸附作用, 并且决定于初始溶液浓度。
脱硫炭用于炼油厂氨气脱硫的研究

研究了采用脱硫活性炭进行炼油厂污水汽提装置副产氨气脱硫的工艺以及脱硫剂的再生方法, 并投入工业应用。该脱硫剂不仅能脱除H_2S, 还能脱除大部分总硫, 运行一年多来, 氨气中H_2S降至2mg/m~3以下, 总硫小于15mg/m~3, 总硫脱除率达65%-75%, 液氨质量明显提高, 取得了较好的经济效益。
具有不确定噪声的连续时间广义系统确保估计性能的鲁棒Kalman滤波器

讨论了一类具有不确定噪声的连续时间广义随机控制系统的鲁棒Kalman滤波器的设计问题.文中给出了确保估计误差性能指标的不确定噪声协方差矩阵扰动上界.文章研究结果表明,在此界限内采用最坏情况下的最优滤波器实现对状态的估计,它不仅能极小化不确定下的最坏性能,而且也能确保估计误差性能指标达到给定的某个自由度.
智能二自由度内模控制

提出了一种智能二自由度内模控制方法.该方法通过智能在线修正反馈滤波器的参数,使系统的鲁棒性和抗扰性均得到明显改善.仿真研究结果表明,即使对于纯滞后且有扰动的系统,其参数与结构发生变化时,系统仍能获得比较好的控制性能.
一种GASA混合优化策略

结合遗传算法的并行搜索结构和模拟退火的概率突跳性,提出了一种高效的GASA混合优化策略.基于典型TSP问题的仿真研究表明,混合策略的优化性能较单一算法和启发式算法有很大改善.
数学形态学在图象处理中的应用进展

数学形态学是一种非线性滤波方法.形态和差运算,即膨胀与腐蚀是数学形态学的基础.数学形态学已由二值菜态学、灰度形态学、软数学形态学、模糊形态学发展到模糊软形态学,可用于抑制噪声、特征提取、边缘检测、图象分割、形态识别、纹理分析、图象恢复与重建等图象处理问题,在图象处理领域得到了越来越广泛的应用.该文结合目前的研究进展,对数学形态学的理论研究及其应用进展进行综合性阐述.
一簇非线性H_∞ 状态反馈可靠控制器（英文）

研究了非线性H_∞状态反馈可靠控制器的参数化问题.用耗散理论,基于Hamilton-Jacobi不等式,构造出了一簇控制器,使得当有执行机构失效时,闭环系统仍渐近稳定且L_2增益有限.该文的结果为非线性H_∞状态反馈可靠控制的综合提供了更深的视角.
采用正交小波网络的非线性系统辨识方法

基于多分辨分析的递阶逼近思想,采用正交小波网络研究了输入样本空间分布非均匀时非线性系统的辨识问题.重要讨论了样本非均匀时网格系的设计问题,并给出了基于该网格系的在线递阶辨识算法.最后利用正交小波网络分别对非线性静态和动态系统进行了仿真辨识.
基于模拟退火算法的锌电解过程分时供电优化调度

依据电力部门的分时计价政策,根据由生产过程数据所建立的不同酸锌比下电流密度与电流效率间关系,建立锌电解过程分时供电优化模型.同时,提出一种带变异操作和变搜索空间的单循环模拟退火算法,并将该算法应用于分时供电优化调度,获得最优的分时供电方案.工厂运行结果表明:整个优化调度系统能显著降低锌电解过程的电耗并增加分时效益.
运动学补偿的宏-微机器人连续轨迹控制研究

一小机械手随在一大机械手末端构成的系统称为宏-微机器人系统.介绍了宏-微机器人连续轨迹控制的新方法.对宏-微机器人的控制在关节空间进行,通过微机械手的快速运动对宏机械手的轨迹误差在线补偿.宏-微机器人轨迹规划离线进行,通过任务放大的方法分解宏-微机器人运动学冗余.仿真和实验证明了方法的有效性.
关于非线性不确定控制系统的鲁棒几乎干扰解耦问题(英文)

研究了非线性系统的鲁棒几乎干扰解耦问题.提出了问题可解的充分条件以及可解时控制器的构造性算法.控制器的设计不需要解任何Hamilton-Jacobi方程.
多传感器单模型动态系统多尺度分布式融合估计(英文)

近几年来,小波理论和信号的多尺度表示方法都得到了迅速发展,并在包括信号处理和图像处理在内的众多领域中得到了成功的应用,而在这些领域中,目前一个较为活跃的分支是基于小波变换的多尺度表示的统计信号处理.运用多尺度分析的思想,将基于模型的动态系统分析方法与基于统计特性的多尺度信号变换方法相结合,建立起目标状态基于多源观测信息的多尺度分布式融合估计和单源观测信息的多尺度分布式估计两种新算法,用计算机仿真研究验证了算法效能.
一种基于遗传算法的模糊神经网络最优控制

通过对控制系统的过程模拟,提出一种模糊神经网络最优控制方案.离线优化部分基于遗传算法,分三阶段实现模糊神经网络控制器结构和参数的优化.在线优化部分通过重构模糊神经网络控制器的去模糊化部分,进一步调整控制规则,实现在线去模糊优化.仿真结果表明该方案优于常规模糊控制方案和基于专家经验的模糊神经网络控制方案.
基于能量的受迫哈密顿系统的镇定及在电力系统中的应用(英文)

有两个目的.第一个目的是考虑电力系统的励磁镇定.将该系统表示为具有耗散的受迫哈密顿系统的形式,随后基于能量构造了李雅普诺夫函数来考察受迫系统的稳定性.第二个目的是提出广义哈密顿系统的模型.广义哈密顿系统具有外部能量供能、内部能量供给及能量消耗.状态空间被描述成具有二次张量场的流形,得到了广义哈密顿系统与坐标无关的全局模型.
多层前向神经网络的新型二阶学习算法

提出了多层前向神经网络的新型二阶递推学习算法.该算法不仅能使网络各层误差而且使二阶导数信息因子反向传播.证明了新算法等价于Newton迭代法并且有二阶收敛速度.它实现了Newton搜索方向和Hessian阵逆的递推运算,其计算量几乎与普通递推最小二乘法相当.由算法性能分析证明新算法优于Karayiannis等人的二阶学习算法.
基于遗传算法的P-F-PI控制器在机器人手臂定位控制中的应用

提出用遗传算法来优化控制参数的P-F-PI(比例-模糊-比例积分)控制器,控制机器人手臂定位系统.P-F-PI控制器是在大偏差时用比例控制,在中偏差时用F控制,接近稳态时用PI控制,而这三个控制器的切换参数以及F控制器中的修正系数用遗传算法来优化.实验证明,该控制方法能满足机器人手臂定位控制动态和静态要求.
基于线性矩阵不等式的分散鲁棒跟踪控制器设计

应用线性矩阵不等式(LMI)方法研究不确定性关联大系统的分散鲁棒输出跟踪控制问题.系统中不确定项具有数值界,可不满足匹配条件.基于不确定项的表达形式,给出了存在分散控制鲁棒跟踪控制器的LMI条件.在此基础上,通过建立求解受LMIs约束的凸优化问题,提出了具有较小反馈增益LMI设计方法,使受控系统渐近跟踪给定的参考输入.LMI方法求解简单,最后用示例说明了该方法的应用.
RBF网学习的进化优选算法

讨论了用正交最小二乘算法训练RBF网的不足之处,然后引入了选择路径的概念,在此基础上,提出了RBF网隐层节点选取的进化优选算法.仿真结果表明,在不同的精度要求下,用进化优选算法均能设计出比正交最小二乘算法更小的RBF网.
强化学习理论、算法及应用

强化学习(reinforcement learning)一词来自于行为心理学,这一理论把行为学习看成是反复试验的过程,从而把环境状态映射成相应的动作.首先全面地介绍了强化学习理论的主要算法,即瞬时差分法、Q-学习算法及自适应启发评价算法;然后介绍了强化学习的应用情况;最后讨论了强化学习目前所要研究的问题.
具多时滞的不确定离散奇异系统的鲁棒稳定性(英文)

给出了一类具多时滞不确定离散奇异系统与时滞无关的容易计算的鲁棒稳定性判据,并且提供了稳定和性能鲁棒性的有效度量方法.给出了例子描述了该方法的应用.
预测控制性能研究的新进展

随着预测控制在工业过程中的广泛应用,近年来,预测控制理论研究也取得很大进展.该文系统地综述和评析了在预测控制性能方面理论研究的新进展,主要内容包括预测控制系统的稳定性、鲁棒性、可行性等性能以及对非线性系统的研究.
两机器串联生产系统在随机状态下的最优生产和维护策略的研究

对机器状态的变化为非齐次马尔可夫过程、带内部缓冲栈的单工件——两机器串联生产系统的最优生产率和维护率进行研究.给出了最优维护率的结构,得到最优生产率由安全面和临界面确定的结构特性.针对解析解无法获得,在得出的结构特性的基础上,给出了一种启发式的次优控制策略.
基于神经网络的一类非线性系统的稳定自适应控制器设计方法

针对一类非线性连续时间系统, 其中非线性函数未知, 提出了一种基于神经网络的稳定自适应控制方案. 由于控制律的选择基于Lyapunov稳定性理论, 因此, 该控制方案不仅能够解决这类非线性系统的跟踪问题, 而且使得整个闭环系统渐近稳定, 克服了许多神经网络控制系统中存在的稳定性问题. 仿真结果表明了算法的有效性.
基于自组织模糊神经网络电力系统稳定器的设计

采用一种自组织模糊神经网络设计电力系统稳定器, 该稳定器能通过结构和参数的学习, 克服传统模糊控制器设计过程中存在的盲目性及拼凑性, 避免模糊控制器中模糊逻辑规则的冗余或欠缺. 仿真表明该电力系统稳定器具有良好控制性能.
变结构模糊神经网络在交流解耦变结构系统中的应用

在感应电动机的控制中采用解耦变结构控制, 有效地简化了控制器的设计, 并提高了控制器的抗干扰性和鲁棒性, 交流解耦变结构系统中应用变结构模糊神经网络, 一方面使系统原来存在的抖振得以抑制, 另一方面又使系统具有自学习和自调整模糊规则的能力, 提高了控制系统的智能, 改善了控制系统的性能.
MIMO对象的方向性与系统的鲁棒性能

该文利用对象方向角, 揭示了MIMO系统在不同输入增益摄动形式下鲁棒性能问题表现不同的原因. 并利用μ综合法处理了不同不确定结构下系统鲁棒性能设计的例子, 结果表明了μ综合法处理这类问题的有效性.
广义系统Wiener滤波和Kalman滤波新方法

应用时域上的现代时间序列分析方法, 基于ARMA新息模型和白噪声估计理论, 提出了广义系统的Wiener状态估值器和稳态Kalman估值器. 它们可统一处理最优滤波、平滑和预报问题. 它们避免了求解Diophantine方程和Riccati方程, 因而构成了Wiener滤波和Kalman滤波新方法. 两个仿真例子说明了新方法的有效性.
模糊变结构控制器的研究

该文揭示了模糊监督控制的变结构本质, 并以到达条件的模糊化过程为例, 说明了它与传统的边界层方法的等价性. 因此可用以削弱在模糊监督控制中所出现的抖振, 文末给出了仿真结果.
控制理论在电力电子学中的应用（上）──模型与线性化方法

该文综述了电力电子学中的拓扑网络建模及最优控制和H_∞鲁棒控制在电力电子学中的应用, 并对线性控制理论在电力电子学中的应用前景作出了展望.
噪声强度不确定的连续系统的鲁棒采样估计（英文）

基于内采样特性讨论噪声强度不确定的连续系统的鲁棒采样估计问题, 主要目的是为这类不确定系统设计离散滤波器, 使每个状态的估计误差方差不大于预先指定值, 从而获得满意的稳态滤波特性. 文中首先研究了仅有模型噪声强度不确定时的情形, 随后说明当测量噪声强度不确定时可用同样方法进行研究.
MIMO系统混合灵敏度设计的问题

该文分析了Safonov M.G.等(1988)关于战斗机模型的设计结果, 证明对于这类条件数较大的MIMO对象, 由于条件数对消的存在, 使得混合灵敏度问题的设计结果对于输入不确定性一般不能保证系统的鲁棒性. 该文利用μ综合方法进行设计, 同时兼顾了对象的输入、输出不确定性, 使整个系统具有较好的鲁棒性.
多机传动机械系统的同步控制

该文提出通过磁场定向控制分别控制多个感应电动机跟踪同一个指令性速度的多机驱动机械系统的同步控制方案. 通过建立全维转子状态估计器, 辨识感应电动机的转子速度、定子和转子电阻、瞬时外负载, 根据外负载辨识结果与速度PID控制器确定感应电动机的转矩电流, 实现感应电动机的无速度传感器控制. 计算机仿真结果表明了该控制方案的有效性.
同步电动机位置模态L~∞预测控制的研究

研究将同步电动机位置控制问题转化为一个带约束的基于模型的L~∞预测控制问题, 解决同步电动机步进运动的动态跟踪特性. 仿真和实验结果证明了其可行性和控制特性的优良.