Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control

This article presents a multi-lagged-input based data-driven adaptive iterative learning control (M-DDAILC) method for nonlinear multiple-input-multiple-output (MIMO) systems by virtue of multi-lagged-input iterative dynamic linearization (IDL). The original nonlinear and non-affine MIMO system is equivalently transformed into a linear input-output incremental counterpart without loss of dynamics. The proposed learning law utilizes the desired trajectory to cancel the influence from iteration-by-iteration variations, as well as additional multi-lagged inputs to improve control performance. The developed iterative estimation law is more effective and also makes estimation of the unknown parameters easier because the dynamics for each parameter to represent are decreased by dividing the system into multiple components in the multi-lagged-input IDL formulation. Moreover, the proposed M-DDAILC does not need an explicit and accurate model. It is proved to be iteratively convergent with rigorous analysis. Both a numerical example and a practical application to a permanent magnet linear motor are provided to verify the validity and applicability of the proposed method.     

福建船政交通职业学院女大学生参与篮球运动现状的调查与分析

篮球运动是校园体育文化的重要组成部分。文章运用文献资料法、访谈法、问卷调查法、数据统计法,对福建船政交通职业学院女大学生参与篮球运动的现状进行调查与分析,结果表明：福建船政交通职业学院女大学生的篮球意识较差,参加比赛的机会较少;教师教学训练方法缺少创新与发展;场地器材不足;导致对篮球运动的兴趣程度较低。     

Intermittent control strategy for synchronization of fractional-order neural networks via piecewise Lyapunov function method

In this paper, the synchronization problem of fractional-order neural networks (FNNs) with chaotic dynamics is investigated via the intermittent control strategy. Two types of intermittent control methods, the aperiodic one and the periodic one, are applied to achieve the synchronization of the considered systems. Based on the dynamic characteristics of the intermittent control systems, the piecewise Lyapunov function method is employed to derive the synchronization criteria with less conservatism. The results under the aperiodically intermittent control show more generality than the ones via the periodically intermittent control. For each of the aperiodic and periodic cases, a simple controller design process is presented to show how to design the corresponding intermittent controller. Finally, two numerical examples are provided to demonstrate the effectiveness of the obtained theoretical results.     

Fractional order sliding mode control of a pneumatic position servo system

Gas flow has fractional order dynamics; therefore, it is reasonable to assume that the pneumatic systems with a proportional valve to regulate gas flow have fractional order dynamics as well. There is a hypothesis that the fractional order control has better control performance for this inherent fractional order system, although the model used for fractional controller design is integer order. To test this hypothesis, a fractional order sliding mode controller is proposed to control the pneumatic position servo system, which is based on the exponential reaching law. In this method, the fractional order derivative is introduced into the sliding mode surface. The stability of the controller is proven using Lyapunov theorem. Since the pressure sensor is not required, the control system configuration is simple and inexpensive. The experimental results presented indicate the proposed method has better control performance than the fractional order proportional integral derivative (FPID) controller and some conventional integral order control methods. Points to be noticed here are that the fractional order sliding mode control is superior to the integral order sliding mode counterpart, and the FPID is superior to the corresponding integral order PID, both with optimal parameters. Among all the methods compared, the proposed method achieves the highest tracking accuracy. Moreover, the proposed controller has less chattering in the manipulated variable, the energy consumption of the controller is therefore substantially reduced.     

Linear output-feedback-based semi-global stabilization for switched nonlinear time-delay systems

This paper focuses on the problem of semi-global output-feedback stabilization for a class of switched nonlinear time-delay systems in strict-feedback form. A switched state observer is first constructed, then switched linear output-feedback controllers for individual subsystems are designed. By skillfully constructing multiple Lyapunov–Krasovskii functionals and successfully solving several troublesome obstacles, such as time-varying delay and switching signals and nonlinearity in the design procedure, the switched linear output-feedback controllers designed can render the resulting closed-loop switched system semi-globally stabilizable under a class of switching signals with average dwell time. Furthermore, under some milder conditions on nonlinearities, the semi-global output-feedback stabilization problem for switched nonlinear time-delay systems is also studied. Simulation studies on two examples, which include a continuous stirred tank reactor, are carried out to demonstrate the effectiveness of the proposed approach.     

Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis

Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether and how the keyword semantics can invoke or affect the topic evolution. We assume that the semantic relatedness among the keywords can affect topic popularity during literature surveying and citing process, thus invoking evolution. However, the assumption is needed to be confirmed in an approach that fully considers the semantic interactions among topics. Traditional topic evolution analyses in scientometric domains cannot provide such support because of using limited semantic meanings. To address this problem, we apply the Google Word2Vec, a deep learning language model, to enhance the keywords with more complete semantic information. We further develop the semantic space as an urban geographic space. We analyze the topic evolution geographically using the measures of spatial autocorrelation, as if keywords are the changing lands in an evolving city. The keyword citations (keyword citation counts one when the paper containing this keyword obtains a citation) are used as an indicator of keyword popularity. Using the bibliographical datasets of the geographical natural hazard field, experimental results demonstrate that in some local areas, the popularity of keywords is affecting that of the surrounding keywords. However, there are no significant impacts on the evolution of all keywords. The spatial autocorrelation analysis identifies the interaction patterns (including High-High leading, High-Low suppressing) among the keywords in local areas. This approach can be regarded as an analyzing framework borrowed from geospatial modeling. Moreover, the prediction results in local areas are demonstrated to be more accurate if considering the spatial autocorrelations.     

Collaborative risk method for information security management practices: A case context within Turkey

In this case study, a collaborative risk method for information security management has been analyzed considering the common problems encountered during the implementation of ISO standards in eight Turkish public organizations. This proposed risk method has been applied within different public organizations and it has been demonstrated to be effective and problem-free. The fundamental issue is that there is no legislation that regulates the information security liabilities of the public organizations in Turkey. The findings and lessons learned presented in this case provide useful insights for practitioners when implementing information security management projects in other international public sector organizations.     

Stability and dissipative analysis for a class of stochastic system with time-delay

This paper deals with the stability and dissipative problem of a class of stochastic hybrid system. The system under study involves Markovian jump, impulsive effects and time delay, which are often encountered in practice and are the sources of instability. Our attention is focused on analysis of whether the stochastic hybrid system with time-delay is stochastically asymptotically stable and strictly (Q, S, R) dissipative. By introducing an extra artificial time instance, the equivalent system is obtained and the sufficient conditions are derived by using linear matrix inequality (LMI) techniques. The main results of this paper unify the existing results on H_∞ control.     

Der Entwurf strukturierter rollenbasierter Zugriffskontrollmodelle

Zusammenfassung. In diesem Beitrag wird ein formaler Ansatz zur Ableitung von Zugriffsrechten auf der Basis eines formalen Organisationsmodells vorgestellt. Hierzu wird der Ansatz der rollenbasierten Zugriffskontrolle (engl. Role-Based Access Control, kurz RBAC) um die M?glichkeit erweitert, Aufbauorganisationen zu modellieren. Der Vorteil gegenüber rollenbasierten Ans?tzen mit einfachen Rollenhierarchien ist die klare Struktur, die einem Zugriffskontrollmodell durch die Organisationsform aufgepr?gt wird. Des Weiteren k?nnen organisatorische Regelungen, wie z.B. Urlaubsvertretung oder Weisungsbefugnis, direkt im Modell hinterlegt werden. Aufwendig zu pflegende und h?ufig inkonsistente Rollenkataloge werden obsolet. Sicherheitsstrategien mit unpr?zisen Vorgaben lassen sich mittels der vorgestellten Technik der sog. `Kompetenzerweiterung' umsetzen. Das zugrundeliegende Paradigma des vorgestellten Ansatzes unterscheidet sich stark von anderen Ans?tzen mit statischer Autorisation. Nutzer k?nnen sich Zugriffsrechte in fest definierten Grenzen selbstverantwortlich zuteilen, wobei jedoch eine nachtr?gliche Kontrolle stark vereinfacht und damit praktikabel wird. Eingegangen am 22. Februar 2001 / Angenommen am 22. Mai 2001     

2015年“第62届美国运动医学会年会”专栏：运动营养研究的新进展——第62届美国运动医学会年会综述

摘要:2015年召开的美国运动医学会(ACSM)年会和第六届“运动是良医”国际会议中,许多学者报告了运动营养的相关研究成果。本文主要依据第62届美国运动医学会年会的论文和相关文献,分析了近年运动营养研究的新进展,包括对已有运动营养补剂功效和机制的重新认识;新的运动营养补剂的应用;食物在提高运动能力中的特殊作用;科学合理膳食方式在促进健康中的作用;运动营养的认知调查;运动营养在生活方式干预中的作用及目前研究中存在的问题和发展趋势。这些研究成果为我们更深入地了解国际运动营养研究的新热点和科学合理地选择营养补剂及通过营养干预促进健康提供了依据。