综合控制系统的动态输出反馈控制器设计

为进一步对控制系统进行系统分析与设计,对离散时滞奇异摄动不确定控制系统设计动态输出反馈控制器,使闭环系统渐近稳定.针对时滞依赖和时滞独立两种情形进行讨论,构造一种新的二次求和型李雅普诺夫泛函.利用交叉项界定方法对泛函差分过程进行放大,并综合运用引理消除系统的不确定性,推出动态输出反馈控制器在时滞条件下存在的充分性判据,扩大控制器的摄动控制范围.对所得结论进行推广,通过算例验证该方法的有效性和可行性,并通过对比相应文献,说明所得控制器具有一定的优越性,可使闭环系统渐近稳定.不仅符合设计要求,而且能达到二次调节控制效果.     

Ecological notes of the alien species Godiva quadricolor (Gastropoda: Nudibranchia) occurring in Faro Lake (Italy)

The first record from Sicily of the introduced facelinid nudibranch Godiva quadricolor allowed the detection of trophic relationships with the polycerid Polycera hedgpethi, another non-native nudibranch, and with two bryozoan species, namely the naturalized Cheilostomatida Bugula neritina and the cryptogenic Ctenostomatida Amathia verticillata. The settlement of both nudibranchs was presumably promoted by a trophic shift of P. hedgpethi from the natural prey B. neritina towards the largely available and not exploited A. verticillata. This short food web, without evident links with native fauna and having G. quadricolor as the top predator, is described. A DNA barcoding approach was used to confirm the identity of this facelinid species and to explore the possible genetic divergence occurring among the samples analysed.     

Microbes,mathematics, and models

Microbial model systems have a long history of fruitful use in fields that include evolution and ecology. In order to develop further insight into modelling practice, we examine how the competitive exclusion and coexistence of competing species have been modelled mathematically and materially over the course of a long research history. In particular, we investigate how microbial models of these dynamics interact with mathematical or computational models of the same phenomena. Our cases illuminate the ways in which microbial systems and equations work as models, and what happens when they generate inconsistent findings about shared targets. We reveal an iterative strategy of comparative modelling in different media, and suggest reasons why microbial models have a special degree of epistemic tractability in multimodel inquiry.     

基于聚类方法和神经网络的非线性系统多模型自适应控制

针对具有参数跳变的非线性系统,联合聚类算法和神经网络提出新的多模型自适应控制方法。首先对系统的输入输出数据进行模糊聚类,然后基于递推最小二乘法建立多个固定模型。为提高系统的暂态性能,同时建立两个自适应模型,并在此基础上设计鲁棒自适应控制器。此外,为了补偿系统的非线性部分,建立非线性预测模型,并设计非线性神经网络自适应控制器。所提方法可使控制切换系统具有稳定性保证。最后,通过性能指标对控制器进行平滑切换。仿真结果表明,所提方法能够保证系统具有良好的控制性能。     

作战管理系统研究

 分析了作战管理的概念内涵、主要特征及其与相关概念的相互关系，提出了作战管理系统发展历程的一种划分方法，介绍了典型的作战管理系统。通过阐述作战管理系统的发展动因和需求、设计相关体系结构，梳理了力量管理、资源管理、行动管理、战场管理、知识管理、能量管理、运维管理等概念、原理、方法和手段，论述了发展作战管理系统的主要关键技术。     

信息物理融合下的建筑施工现场碳排放实时监测系统

随着全球变暖现象加剧，控制建筑业碳排放成为了重要研究课题，建筑施工现场碳排放的计算与监测问题成为重点。为了有效解决这一问题，梳理了现有碳排放计算方法，总结了各类方法的特点，提出了基于信息物理系统（CPS）技术的施工现场碳排放实时监测系统框架；针对施工现场碳排放计算边界及计算逻辑进行了定义，并从硬件系统与软件系统两部分实现了碳排放实时监测系统的开发。最后，通过无线传感器、服务器、数据库以及客户端的有效耦合，实现了对建筑施工现场的碳排放进行实时监测和数据分析。     

系统工程优化决策理论及其发展战略

系统工程是一门综合性的技术学科.本文分别从单人优化决策和多人优化决策的角度出发:介绍了系统工程涉及到的优化与决策方法.包括最优化理论、决策理论、博弈论等多种理论方法.综述了每种理论方法研究问题的特征、基本的结论以及发展过程,并对系统工程中使用到的优化与决策理论的发展趋势进行说明.为解决系统工程问题使用到的优化与决策理论方法的研究与应用提供一定的参考.     

非自治随机Kuramoto-Sivashinsky方程的Wong-Zakai逼近

在Wong-Zakai逼近下证明了非自治Kuramoto-Sivashinsky方程吸引子的存在性.     

多任务模糊聚类驱动的多任务TSK模糊系统模型

该文提出了一种多任务Takagi-Sugeno-Kang（TSK）模糊系统建模方法.首先给出了一种新的多任务模糊c均值聚类算法，能够有效提取所有任务之间的公共信息和每个任务的私有信息，进而利用所得的聚类中心构建多任务TSK模糊系统的前件参数.其次设计了一种具备多任务协同学习机制的后件参数优化方法，可以优化多任务TSK模糊系统的后件参数.最后基于优化的前后件参数，构建出具体多任务模糊聚类方法驱动的多任务TSK模糊系统模型（multi-task fuzzy c-means based multi-task TSK fuzzy system，MTFCM-MT-TSK-FS）以用于实际应用.分别在合成和真实数据集上进行实验，结果验证了该模型的有效性.     

Local reduction in physics

A conventional wisdom about the progress of physics holds that successive theories wholly encompass the domains of their predecessors through a process that is often called “reduction.” While certain influential accounts of inter-theory reduction in physics take reduction to require a single “global” derivation of one theory׳s laws from those of another, I show that global reductions are not available in all cases where the conventional wisdom requires reduction to hold. However, I argue that a weaker “local” form of reduction, which defines reduction between theories in terms of a more fundamental notion of reduction between models of a single fixed system, is available in such cases and moreover suffices to uphold the conventional wisdom. To illustrate the sort of fixed-system, inter-model reduction that grounds inter-theoretic reduction on this picture, I specialize to a particular class of cases in which both models are dynamical systems. I show that reduction in these cases is underwritten by a mathematical relationship that follows a certain liberalized construal of Nagel/Schaffner reduction, and support this claim with several examples. Moreover, I show that this broadly Nagelian analysis of inter-model reduction encompasses several cases that are sometimes cited as instances of the “physicist׳s” limit-based notion of reduction.