Inverse full state hybrid projective synchronization for chaotic maps with different dimensions

A new synchronization scheme for chaotic（hyperchaotic） maps with different dimensions is presented.Specifically,given a drive system map with dimension n and a response system with dimension m,the proposed approach enables each drive system state to be synchronized with a linear response combination of the response system states.The method,based on the Lyapunov stability theory and the pole placement technique,presents some useful features：（i） it enables synchronization to be achieved for both cases of n 〈 m and n 〉 m;（ii） it is rigorous,being based on theorems;（iii） it can be readily applied to any chaotic（hyperchaotic） maps defined to date.Finally,the capability of the approach is illustrated by synchronization examples between the two-dimensional H′enon map（as the drive system） and the three-dimensional hyperchaotic Wang map（as the response system）,and the three-dimensional H′enon-like map（as the drive system） and the two-dimensional Lorenz discrete-time system（as the response system）.

Arbitrary full-state hybrid projective synchronization for chaotic discrete-time systems via a scalar signal

In this paper we present a new projective synchronization scheme, where two chaotic （hyperchaotic） discrete-time systems synchronize for any arbitrary scaling matrix. Specifically, each drive system state synchronizes with a linear combination of response system states. The proposed observer-based approach presents some useful features： i） it enables exact synchronization to be achieved in finite time （i.e., dead-beat synchronization）; ii） it exploits a scalar synchronizing signal; iii） it can be applied to a wide class of discrete-time chaotic （hyperchaotic） systems; iv） it includes, as a particular case, most of the synchronization types defined so far. An example is reported, which shows in detail that exact synchronization is effectively achieved in finite time, using a scalar synchronizing signal only, for any arbitrary scaling matrix.

Optimization of Multi-Execution Modes and Multi-Resource-Constrained Offshore Equipment Project Scheduling Based on a Hybrid Genetic Algorithm

Offshore engineering construction projects are large and complex,having the characteristics of multiple execution modes andmultiple resource constraints.Their complex internal scheduling processes can be regarded as resourceconstrained project scheduling problems(RCPSPs).To solve RCPSP problems in offshore engineering construction more rapidly,a hybrid genetic algorithmwas established.To solve the defects of genetic algorithms,which easily fall into the local optimal solution,a local search operation was added to a genetic algorithm to defend the offspring after crossover/mutation.Then,an elitist strategy and adaptive operators were adopted to protect the generated optimal solutions,reduce the computation time and avoid premature convergence.A calibrated function method was used to cater to the roulette rules,and appropriate rules for encoding,decoding and crossover/mutation were designed.Finally,a simple network was designed and validated using the case study of a real offshore project.The performance of the genetic algorithmand a simulated annealing algorithmwas compared to validate the feasibility and effectiveness of the approach.

Enabling Hybrid Projects through Appropriate Market Design

Large-scale hybrid power plants, composed of two or more generation sources and with the participation of energy storage systems, have driven important electricity Market Design regulation discussions worldwide. Regulatory framework ought to be adapted to support technical particularities of these new generation arranges. This paper presents an assessment of the main requirements to be met by Market Design to enable hybrid power plants by means of assertive market incentives. Assessing regulatory adjustments promoted in Australia, United States, India, China, and Brazil, emphasizing the latter one, the authors presents a case study by applying specific computational simulation and optimization model to a hybrid Hydro-Solar plant, that supports the findings for the necessary evolution needed in the national regulatory framework in order to enable hybrid projects. The evaluation of international experiences indicates that the insertion of hybrid projects is associated with the design of the market they belong to and demand regulatory adjustments so that their attributes can be properly valued for the benefit of all stakeholders, especially for the electricity consumer.

Hybrid multiple attribute decision making model based on entropy

From the viewpoint of entropy, this paper investigates a hybrid multiple attribute decision making problem with precision number, interval number and fuzzy number. It defines a new concept： project entropy and the decision is taken according to the values. The validity and scientific nature of the given is proven.

Modified Function Projective Synchronization of Complex Networks with Multiple Proportional Delays

This paper deals with the modified function projective synchronization problem for general complex networks with multiple proportional delays. With the existence of multiple proportional delays, an effective hybrid feedback control is designed to attain modified function projective synchronization of networks. Numerical example is provided to show the effectiveness of our result.

Design study of APS-U-type hybrid-MBA lattice for mid-energy DLSR

In recent years,a new generation of storage ring-based light sources,known as diffraction-limited storage rings(DLSRs),whose emittance approaches the diffraction limit for the range of X-ray wavelengths of interest to the scientific community,has garnered significant attention worldwide.Researchers have begun to design and build DLSRs.Among various DLSR proposals,the hybrid multibend achromat(H-MBA)lattice enables sextupole strengths to be maintained at a reasonable level when minimizing the emittance;hence,it has been adopted in many DLSR designs.Based on the H-7BA lattice,the design of the Advanced Photon Source Upgrade Project(APS-U)can effectively reduce emittance by replacing six quadrupoles with anti-bends.Herein,we discuss the feasibility of designing an APS-U-type H-MBA lattice for the Southern Advanced Photon Source,a mid-energy DLSR light source with ultralow emittance that has been proposed to be built adjacent to the China Spallation Neutron Source.Both linear and nonlinear dynamics are optimized to obtain a detailed design of this type of lattice.The emittance is minimized,while a sufficiently large dynamic aperture(DA)and momentum acceptance(MA)are maintained.A design comprising 36 APS-U type H-7BAs,with an energy of 3 GeV and a circumference of 972 m,is achieved.The horizontal natural emittance is 20 pm·rad,with a horizontal DA of 5.8 mm,a vertical DA of 4.5 mm,and an MA of 4%,as well as a long longitudinal damping time of 120 ms.Subsequently,a few modifications are performed based on the APS-U-type lattice to reduce the maximum value of damping time from 120 to 44 ms while maintaining other performance parameters at the same level.

基于Hybrid迭代法的多连通域数值保角变换计算法

针对模拟电荷法无界多连通区域的数值保角变换问题,文中提出了一种高精度的数值方法,即基于Hybrid迭代法的无界多连通区域的数值保角变换计算法。该方法通过模拟电荷法构造约束方程,对约束方程应用预处理构造对称正定的方程,获得新的模拟电荷和辐角,并构造近似保角变换函数。文中以多连通圆变换为径向狭缝域为例进行数值实验。使用解析函数的最大模原理作为误差的评价指标,并得出了天野法和文中算法的误差曲线。当模拟电荷数N=180,Jordan曲线为C_(2)时,文中算法E_(A2)的误差为1.6767×10^(-7),但是天野法E A2的误差为8.5977×10^(-4)。当模拟电荷数N=180,Jordan曲线为C_(3)时,文中算法E_(Θ3)的误差为5.6351×10^(-10),天野法E_(Θ3)的误差为1.1025×10^(-5)。

An Evolutionary Algorithm with Multi-Local Search for the Resource-Constrained Project Scheduling Problem

This paper introduces a hybrid evolutionary algorithm for the resource-constrained project scheduling problem (RCPSP). Given an RCPSP instance, the algorithm identifies the problem structure and selects a suitable decoding scheme. Then a multi-pass biased sampling method followed up by a multi-local search is used to generate a diverse and good quality initial population. The population then evolves through modified order-based recombination and mutation operators to perform exploration for promising solutions within the entire region. Mutation is performed only if the current population has converged or the produced offspring by recombination operator is too similar to one of his parents. Finally the algorithm performs an intensified local search on the best solution found in the evolutionary stage. Computational experiments using standard instances indicate that the proposed algorithm works well in both computational time and solution quality.

机电系统网络控制课程的多维度混合式教学探索与实践

针对研究生课程机电系统网络控制的教学现状与发展需求,开展多维度混合式教学探索与实践。构建包含课堂讲授、资源库、专题研讨等在内的线上线下多维度教学体系;针对主题研讨实践环节引入翻转课堂,以项目驱动和研讨式教学引导学生分组完成课程相关的项目任务,掌握并运用所学知识分析解决问题,体验科学研究的过程与思维方法,形成理论知识到科研实践的闭环训练;最终建立形成性和终结性相结合的多元考核评价体系,旨在通过课程学习培养专业基础扎实、科研素养和工程实践能力突出的高端创新型人才。

Common Fixed Point Theorems for Totally Quasi-G-Asymptotically Nonexpansive Semigroups with the Generalized f-Projection

In this paper, we introduce some new classes of the totally quasi-G-asymptotically nonexpansive mappings and the totally quasi-G-asymptotically nonexpansive semigroups. Then, with the generalized f-projection operator, we prove some strong convergence theorems of a new modified Halpern type hybrid iterative algorithm for the totally quasi-G-asymptotically nonexpansive semigroups in Banach space. The results presented in this paper extend and improve some corresponding ones by many others.

基于分组学习粒子群算法的众包软件项目调度

为解决众包软件项目调度问题中的开发者选择、任务分配和投入度确定3个强耦合子问题,引入开发者信誉度,考虑技能、工作时长、开发团队规模等约束,以项目完成质量和工期为目标建立数学模型。提出一种采用三段式混合编码的分组学习粒子群算法求解所建模型。所提算法根据适应度排序将种群划分为3组,不同分组的粒子数量随进化代数自适应变化,且各组根据不同的适应度采用不同的更新策略。将所提算法与10种具有代表性的算法在12个不同规模的众包软件项目调度算例中进行对比,结果表明,所提算法能够获得精度更高的调度方案。

NB/T 11554—2024要点解读及水风光储多能互补标准化工作回顾

本文追溯了“十三五”时期关于多能互补综合能源的开发模式、工程示范以及针对电源端多能互补系统的分类和指导意见,根据“十四五”时期关于两大水风光综合基地的规划,全国主要流域可再生能源一体化规划工作的初步成果,以及对于试点流域规划实施启动、产业链配套工程提速等工作回顾,梳理了水风光储可再生能源综合开发工作历程及标准化工作需要解决的问题及必要性。在分析多能互补一体化标准现状及水风光储标准立项需求的基础上,对最新发布的《水风光储可再生能源综合开发项目技术规范》进行规划、设计、运行和管理全生命周期各阶段要点解析,提出了该规范对于水风光储标准化工作的开创性和指导性。

级联式生成对抗网络的全景图像修复

为了解决全景图像视场宽、畸变显著等问题,提出了一种级联式生成对抗网络的全景图像修复算法。第一阶段提出了一种双判别器生成对抗网络,通过对等矩形格式的全景图像进行立方体投影转换,对立方体六面图像进行修复,引入PatchGAN作为全局判别器捕获细节信息,局部判别器网络可以保证局部修复结果与周围区域的一致性。第二阶段提出了一种失真感知生成对抗网络,通过矩形混合卷积缓解全景图像失真,判别器引入谱归一化,与第一阶段进行级联以缓解立方体图像边界不连续问题,设计联合损失函数以优化网络修复效果。实验结果表明,所提算法无论从主观视觉评价或是从客观评价指标上均取得了优秀的效果,实现全景图像的有效修复。

武汉市江汉四桥拓宽工程主桥设计关键技术

武汉市江汉四桥拓宽工程主桥采用与旧桥外形一致、呈反对称布置的主跨232 m独塔混合梁斜拉桥,跨径布置为(232+70+40+20)m,采用刚构体系。主梁采用钢-混叠合梁与预应力混凝土梁组成的混合梁,钢-混结合面位于主跨距桥塔中心线9 m处,主跨采用双边工字形叠合梁,桥面宽23.5 m,标准梁高1.6 m;边跨采用预应力混凝土边主梁和箱形截面主梁,桥面宽23.5~27.0 m,标准梁高2.1 m。桥塔采用“A”形混凝土塔,塔高114.5 m,其下布置整体式承台,采用18根ϕ2.8 m的群桩基础。斜拉索按空间扇形双索面布置,共104根斜拉索,采用标准强度1770 MPa高强平行钢丝索,主跨梁端采用锚拉板锚固,边跨梁端设置槽口锚固,塔端采用锚固齿块锚固,主塔斜拉索锚固区纵、横桥向均配置有无粘结预应力钢棒。汉阳岸边墩采用T形钢筋混凝土板墩及钻孔桩基础;汉口岸边墩、辅助墩均采用钢筋混凝土独柱墩及钻孔桩基础。桥塔塔柱采用爬模施工;边跨主梁采用支架现浇施工,主跨主梁采用悬臂拼装施工。结构计算结果表明,大桥结构刚度及应力均满足要求。

“双碳”背景下能源动力课程教学改革的探索——以“内燃机排放与控制”课程为例

在“双碳”目标下,绿色低碳已成为我国能源技术创新的主要方向,各高校在能源动力类人才培养的改革上,还面临诸多挑战。实践证明,利用“互联网+”教育及工程项目深度融合的混合教学模式,是能源动力类课程教学改革的有效措施。通过整合MOOC及SPOC线上优质教学资源,重构传统教学内容,可以显著优化学时分配。借此引入工程项目式教学环节,将数值模拟技术融入教学,既培养了学生的科学创新思维,又提高了学生对工程问题的认知度、团队协作和沟通能力。

敏捷方法与传统方法相结合的软件项目管理模型研究

随着社会发展节奏加快,客户对于需求的变更越来越频繁地出现在软件开发项目中。传统的项目管理方法主要基于线性化开发,过于注重预测、计划和阶段性控制,因此渐渐不适应现代企业的开发节奏。传统软件项目管理注重计划和控制,重视详细的文档和规范,但是其刚性和缓慢的反应能力不适应快速变化的市场和需求。而敏捷方法注重灵活性和快速响应能力,重视人员和团队协作,但是其不完全规范化的过程和文档化可能会导致项目质量不稳定。因此,将敏捷和传统软件项目管理相结合,可以充分发挥两种方法的优势,弥补各自的不足,提高软件项目管理的效率和质量,增强团队的协作和响应能力。

激光-电弧复合焊接技术及工艺认可

为突破激光焊接工艺的局限性,对激光-电弧复合焊接技术的工作原理和工艺特点进行介绍,并对试验过程中常见的焊接缺陷和原因进行分析汇总,在此基础上,给出激光-电弧复合焊接工艺认可提示和规范完善建议。研究成果可为激光-电弧复合焊接技术在船舶制造业中的应用提供一定参考。

基于混合智能优化算法的输变电工程全环节关键数据处理方法

为了提升输变电工程全环节的数据管理质效,提出了一种基于混合智能优化算法的输变电工程全环节关键数据处理方法。该方法以造价数据管理为核心,利用层次分析法建立工程造价控制评估模型,获得了造价评估指标与指标权重。同时设计了一种改进的随机邻域嵌入算法实现数据降维,进而引入经自适应改进的鲸鱼优化算法及粒子群算法。在交叉策略框架下,将两者相结合并得到鲸鱼粒子群混合优化算法。实验结果表明,所提方法对输变电工程全环节关键数据的处理效果较优,而与其他方法相比,其精度和效率也均具备显著优势,能够提升数据管理水平。

卷烟设备在混合现实技术下的创新应用策略

为提升卷烟领域智能化管理,首先引入混合现实技术,并对HoloLens全息化投射头盔显示器进行分析;其次设计基于混合现实技术的卷烟设备运维可视化系统;最后将设计完成的混合现实技术卷烟设备运维可视化系统应用于实际中。结果表明,设计的基于混合现实技术的卷烟设备创新方法可行性良好,设备零部件之间的空间关系得到了完整展现;智能控制卷烟设备性能表现良好,但仍然有改进的空间,与人工干预下的设备管理效果还有一定距离。本研究得到了表现良好的混合现实技术的卷烟设备运维可视化系统,为卷烟厂全面智能化发展奠定了基础。