Identification of voltera kernels of a class of nonlinear systems by walsh function techniques

This paper discusses the identification problem for a class of nonlinear systems. A member of this class may be represented by a single-valued power-law type nonlinearity preceded and succeeded by linear dyadic invariant systems. Such an arrangement allows for a Voltera functional series representation. The identification problem is then concerned with the specification of the associated Voltera kernels.Two approaches are presented for dealing with this problem. Both approaches are, however, based on Walsh function techniques. The first approach relies on direct output measurements when the input is a Walsh function. This approach is suitable for a deterministic case. The second approach assumes ergodic processes for the input. Based on measurements drawn from an input-output dyadic correlation function, determination of the Voltera kernels is made.     

Propagation through a slab of irregularities in a magneto-ionic medium

A theory is developed to describe the propagation of characteristics waves through an infinite slab of irregularities in a magneto-ionic medium. The theory makes use of the asymptotic Green's dyadic. The results show that mode conversion is possible through scattering from irregularities in an anisotropic background. Some special cases are discussed and an example is given.     

Feedback characteristic polynomial controller design of 3-D systems in state-space

For a general state-space model of three-dimensional (3-D) systems the characteristic polynomial (eigenvalue) control problem via state and output feedback is considered. A frequency domain approach is employed which in the scalar input case leads to a set of necessary and sufficient conditions. The multi-input problem is treated by assuming that the state or output feedback gain matrix is expressed as the dyadic product ⊙F = ⊙ ⊙f^T of a column vector ⊙β and a row vector ⊙f^T. This assumption leads to an equivalent scalar input problem β which is directly solved by using the scalar input results. Concerning the dynamic feedback compensator design problem, the important particular case of proportional plus integral plus derivative (PID) control is considered and treated by essentially the same algorithm, which leads to a linear algebraic system in the unknown parameters, along with some constraint equations upon the closed-loop characteristic polynomial sought.     

人力资本与组织资本嵌入关系研究

人力资本与组织资本作为密切相关的2个要素,他们的组织安排影响着组织绩效。为了取得人力资本与组织资本稳固的平等对偶交换,根据新经济社会学的嵌入理论,应顺次实现资产专用性关系嵌入、股权资本关系嵌入和心理契约关系嵌入,完成人力资本与组织资本＂锁定→激励→平衡＂的动态过程。这种嵌入关系的形成对解决我国出现的＂高管辞职潮＂和＂员工荒＂问题具有借鉴和指导意义。     

政府补贴对纺织企业研发投入的影响

本文基于资源基础理论、信号传递理论及制度观等,以我国纺织行业上市公司为研究样本,研究政府补贴对纺织企业研发投入的影响,并分析地区知识产权保护水平与企业所有权性质的调节作用。研究发现:政府补贴在一定界限内会促进研发投入增加,超过一定界限时会产生挤出效应,政府补贴与研发投入之间呈倒U形关系;企业所有权性质与地区知识产权保护水平都有显著调节效应,政府补贴发挥的激励作用在民营企业内更强,在地区知识产权保护水平较高的地方也较强;联合调节作用表现为:当地区知识产权保护水平较高时,政府补贴对研发投入的影响会因为企业所有权性质不同而有较大差异,且在民营企业内促进作用更显著,反之,政府补贴对研发投入的影响程度在国有和民营企业中差异不明显;政府补贴与企业研发投入之间的关系在纺织业、纺织服装业、化纤制造业3个子行业中有区别,政府研发补贴对化纤制造业研发投入激励作用最大,其次是纺织服装业,而纺织业中则不显著。     

输入输出平衡并重的大学英语阅读课堂教学模式探析

我国大学英语阅读教学长期以来偏重于学生的语言输入,却忽视学生的语言输出,这种失衡造成学生阅读能力低下。根据语言输入输出理论,英语学习中的输入和输出是密切联系、相辅相成的。在输入阅读材料的同时,需要通过输出来强化输入,大学英语阅读教学应是二者的有机结合。只有创建输入输出平衡并重的大学英语阅读教学模式,才能真正提高学生的语言综合运用能力,从而取得良好的教学效果。     

基于粗糙集的BP神经网络设计

传统的神经网络对于简单、具有明确分类界限的数据,可以有较好的计算结果,但是在输入属性集合较大、分类界限不明确的情况下,会出现收敛效率和分类准确率较低,甚至会出现不收敛状态。本文利用Rough集的理论,对输入数据不停地进行样本检测,对输入特征不停地进行筛检,以此达到删减输入特征数的目的,从而提高对输入数据的拟合。通过对采集到的脑电信号进行验证,达到删减特征数和提高分类准确度的目的。     

研发产业的产业关联与波及特点分析——以上海为例

运用投入产出理论，以上海2002年投入产出表为基础，对研发产业的投入结构、销路结构、中间需求率、中间投入率、影响力及影响力系数、感应度及感应度系数等重要指标进行量化分析，揭示了研发产业与相关产业间的关联效应和波及程度。     

概率论和数理统计典型问题探究

在本文中,对概率论以及数理统计进行研究分析。研究分析所采用的方法,就是采取举例子的方法。本文就是以此为主题来进行探析的。     

科技投入产出绩效评价的内生增长模型研究

我国在《2006—2020国家中长期科学和技术发展规划纲要》中提出要建设“创新型国家”并制定了包括1项投入和5项产出在内的实施目标，这就需要相应的测度体系对科技投入的产出绩效进行评价。考虑到余值法计算科技进步贡献率的缺陷，本研究在归纳和总结传统科技评价方法的基础上，建立了基于内生增长理论的模型框架和指标体系。     

CEO过度自信、董事会特征和企业创新绩效的关系研究——来自中国A股制造业上市公司的经验证据

根据资源基础理论和代理理论,从创新投入,未控制投入的创新产出和控制投入的创新产出三个层面研究企业创新绩效,分析CEO过度自信对三个层面创新绩效的影响,以及董事会特征在上述关系中起到的调节作用。利用2007~2015年中国A股所有制造业上市公司的数据进行实证分析,结果表明,CEO过度自信与企业创新绩效之间具有正相关关系;董事会规模和CEO两职兼任增强了上述正相关关系;独立董事占比削弱了上述正相关关系;董事会流动性增强了CEO过度自信与企业创新投入之间的正相关关系。     

R&D投入与经济增长的协整关系分析——基于青岛市的实证研究

区域自主创新能力的提高,很大程度上取决R&D投入。本研究运用计量经济学的协整理论,选用了青岛市1994-2009年R&D投入和经济增长的统计数据,借助Eviews分析软件,对青岛市R&D投入与经济增长的协整关系进行了实证研究,建立了两者之间的长期均衡方程与误差修正模型,并进行了格兰杰因果关系检验。最后,根据研究结论对青岛市进一步加大R&D投入,推动区域创新体系建设提出了建议。     

Distributed observer-based consensus tracking for nonlinear MASs with nonuniform input delays and disturbances

In this paper, we investigate the consensus tracking problem of nonlinear MASs with nonuniform time-varying input delays and external disturbances. For each follower, the composited disturbance observer and the state observer are employed to estimate bounded composited disturbances and unmeasured states, and a distributed observer based on output-feedback is proposed to approximate the leader’s states approachably. Sequentially, the consensus tracking control is converted into a stability control problem for the nonlinear MASs with nonuniform time-varying input delays. Subsequently, a distributed controller based on the truncated prediction approach is presented, which only depends on the boundary value of time-varying input delays. The distributed controller can render each follower synchronically stable via the Lyapunov stability theory. Finally, a group of single-link manipulators is used as an example to verify the effectiveness of the theoretical results.     

Technological capability strength/asymmetry and supply chain process innovation: The contingent roles of institutional environments

Despite the importance of process innovation in fostering supply chain competitiveness, existing studies primarily emphasize product innovation and overlook institutional environments. This study builds on the dyadic capability-based view and institutional theory to investigate how buyer's and supplier's technological capabilities jointly affect supply chain process innovation in China. We differentiate between two distinct dimensions, technological capability strength and technological capability asymmetry, and propose that technological capability strength negatively influences supply chain process innovation whereas technological capability asymmetry promotes such innovation. We also examine how formal (i.e., government intervention) and informal (i.e., guanxi importance) institutional factors moderate the effects of technological capability strength and asymmetry on supply chain process innovation. Empirical analyses based on 157 buyer–supplier dyads in China offer strong support for our hypotheses, which provide important implications for the supply chain innovation collaboration literature and managerial practice.     

基于整合观的联盟管理研究

虽然近年来有关联盟管理研究的文献非常多，但是能够揭示联盟成功秘密的却非常少。在本文中，我们提出了在现有的文献中有关联盟管理的主要由三个观点（双边的、企业层次的和网络层次的），但是没有一个观点能够为我们提供对联盟管理的全面理解。因此，成功的联盟管理需要深刻地了解联盟管理所有三个层次的内涵以及他们的相互作用。     

Finite-time consensus of neutrally stable multi-agent systems in the presence of input saturation

The problem of finite-time consensus of linear multi-agent systems subject to input saturation is investigated and two control protocols are presented for leaderless and leader-following cases, respectively. The leaderless multi-agent systems with proposed non-smooth protocol can achieve consensus in finite time. The consensus protocol designed for leader-following case with directed topology can solve the finite-time consensus problem, where a priori constraint is adopted to deal with input saturation. Furthermore, the settling time is explicitly derived using finite-time Lyapunov theory. Finally, the effectiveness of the theoretical results is illustrated with several numerical simulations.     

Asynchronous switching for switched nonlinear input delay systems with unstable subsystems

We study the input-to-state stability (ISS) of switched nonlinear input delay systems under asynchronous switching. Our results apply to cases where some subsystems of the switched systems are not necessarily stable under the influence of input delay. By making a compromise among the matched-stable period, the matched-unstable period, and the unmatched period and allowing the increase of the Lyapunov–Krasovskii functional (LKF) on all the switching times, the extended stability criteria for switched delay systems in generally nonlinear setting are derived first. Then, we focus on switched nonlinear input delay systems where the presence of the input delay leads to the instability of some subsystems of it. By explicitly constructing input-to-state stable LKF, the sufficient conditions for ISS of switched nonlinear input delay systems under asynchronous switching are presented. Finally, two examples are given to illustrate the effectiveness of the proposed theory.     

内生增长条件下科技投入产出绩效评价:一个模型框架

在《2006—2020国家中长期科学和技术发展规划纲要》中,我国提出要建设“创新型国家”并制定了包括1项投入和5项产出在内的实施目标。认为,“创新型国家”建设过程中的科技评价应包括两个方面的内容：一是对科技过程效率与效果的考察,二是对科技投入社会经济影响的关注。为此,在归纳和总结传统科技评价方法的基础上,建立了基于内生增长理论的模型框架和指标体系。     

税收优惠与研发投入——产权性质调节与成本粘性的中介作用

政府的辅助之手,能否通过税收优惠完善资源综合利用和引导创新资源投入?本文基于新增长理论和资源基础理论,以我国2008-2015年A股上市公司为样本,以产权性质为调节变量,成本粘性为中介变量,通过考察实际税率对企业研发投入和成本粘性的影响,揭示了税收优惠的资源配置效应。研究发现:税收优惠对企业研发投入有积极影响;成本粘性有助于企业研发投入的提升,对上述关系具有部分中介作用;产权性质通过成本粘性对这一关系起调节作用。这一结果为税收优惠的资源配置效应研究提供一定理论素材与有益参考。     

从创新厌恶到创新包容——银行债权治理的创新效应研究

动态变化的竞争格局为银行债权人从对企业技术创新厌恶到创新包容提供了充分的演化动力。本文在分析银行债权治理对企业技术创新能力影响的基础上,探索了制度效应和资源效应在二者关系中的中介作用,进而辨析了银行债权治理的创新效应的产生机理。实证研究表明:银行债权治理对企业技术创新能力具有显著促进作用,银行债权人已由创新厌恶向创新包容演化;银行债权治理能够通过降低代理成本,优化企业原始制度安排的方式提升企业技术创新能力,即制度效应在二者关系中具有显著中介作用;银行债权治理并不能通过提升创新资源投入的方式促进企业创新,即资源效应的中介作用不显著。因此,"债权治理——制度效应——技术创新"的作用路径对创新包容效应更具理论解释力。研究结论能够从技术创新的角度对融资优序理论和银行代理监督理论进行回应和补充,并为企业创新和银行债权治理实践提供科学依据。