感应电动机伺服驱动系统自适应控制系统研究

本文针对性的提出了基于递归型小波神经网络的自适应控制性能的方案,该算法计算量减少,简化了控制结构,它可随着伺服驱动系统的运行情况的改变控制系统的结构参数,提高了伺服驱动系统对参数变化的性能,同时,也较好地改善了伺服驱动控制系统的稳态性能。通过仿真的结果验证了该控制系统方案的有效性和可行性。     

南京老山林场森林生态系统适应性管理问题的探讨

由于气候变化的恶劣情况给森林生态系统和人类带来了很大的风险,本文在研究适应性管理的基础上,确定了老山森林生态系统建设的主要生态目标,综合分析了南京老山林场森林生态系统的功能,指出老山林场森林生态系统适应性管理过程中存在的问题,并提出了老山林场森林生态系统实施适应性管理的具体措施和相关的建议。     

基于自适应神经模糊系统控制的船舶自动舵

介绍了自动舵的设计历史和发展方向,讨论了ANFIS控制器的实现方法,将ANFIS控制器应用到船舶航向非线性系统中,ANFIS自动舵的功能在于将实际航迹与计划航线之间的误差最小化,实施更合理的船舶航行控制。     

Refining the Art of Reforming the Corporate Governance of Chinese State-Controlled Listed Companies: Venture Capital and Adaptive Efficiency

The corporate governance of Chinese state-controlled listed companies (SCLCs) has attracted much scholarly attention. Through reviewing the extant literature in this field, it is clear that the overwhelming majority is theoretically underpinned by the lens of agency costs. Another important perspective, adaptive efficiency, has yet to be equally emphasized by scholars. Reflecting on the experience of American venture capital (VC), this article puts forth that the corporate governance of SCLCs has weakened the fundraising ability of Chinese domestic VC. Taking account of the positive link of a vibrant VC sector and the enhancement of adaptive efficiency, an obvious conclusion is that the corporate governance of SCLCs has already jeopardized the adaptive efficiency of the Chinese economy. Further, the normative implication of this finding is that the refined art of reforming the corporate governance of SCLCs ought to combine and harmonize agency costs with adaptive efficiency.     

采用Gabor-Hough变换的自适应滤波人眼定位

人眼定位是人脸识别方法的第一步。传统人眼定位方法需要将人脸裁切,情况单一,对于复杂背景、倾斜等情况,精度低,宽容度差。指出将改进的滤波器与改进的定位方法相结合,首先对原图像进行Gabor变换,寻找图像凹陷,凹陷区域通过边缘像素向量改进的Hough变换检测瞳孔,得到参考坐标,经过训练得到滤波器并在角度\[-0.1,0,0.1\]旋转两次得到3个相关滤波器,通过相关滤波器滤出3个目标,选择最小误差位置作为最终的目标。相比传统方法,改进方法避免了矩阵盲目计算,具备传统方法的普适性,学习过程使定位误差减小为0.040 4,计算量减少为传统方法的1/5。该方法对不同光照、光照不均、不同表情、复杂背景、头部倾斜等情况有较好的鲁棒性,避免了单一方法定位不到和不准的情况。     

基于CAS理论的区域创新生态系统演化研究

依据隐喻的方法,类比自然生态系统阐述了区域创新生态系统的基本内涵和特征,同时认为区域创新生态系统具有复杂适应性,可以使用复杂适应系统理论对区域创新生态系统的演化过程进行研究。在复杂适应系统理论的视角下,重点探讨了区域创新生态系统中的主体及从主体到系统整体的创新演化过程。     

PCMA自适应自干扰对消算法与仿真

讨论了成对载波多址（PCMA）自适应自干扰对消原理,分析了参数估计误差对自干扰 对消的影响。在频偏误差的影响下对消误差为非平稳过程,传统自适应对消滤波器无法收敛 。为了克服频偏误差的影响,提出了一种自适应可变遗忘因子（VFF） RLS算法,同时,给 出了具有高精度低运算量的模糊函数参数估计算法。仿真证明了VFF-RLS对消算法具有良好 的对消性能和稳健性,且需要的额外功率较低,能满足PCMA系统要求。     

How do interorganizational and interpersonal networks affect a firm's strategic adaptive capability in a transition economy?

This paper examines the effects of a firm's interorganizational network characteristics and a CEO's interpersonal network ties on a firm's strategic adaptive capability in a transition economy. Using a unique survey dataset of 250 Chinese firms, the paper focuses on the compositional diversity of a firm's interorganizational network and the structural holes in a CEO's interpersonal network. The results show that an interorganizational network that is diverse in composition and an interpersonal network that is rich in structural holes have significantly positive effects on a firm's strategic adaptive capability in China's transition economy. However, a negative interaction effect occurs between interorganizational network diversity and interpersonal network structural holes. The results suggest that managers simultaneously consider both the individual and joint effects of interorganizational and interpersonal network characteristics when developing firm strategies.     

中国旅游制度变迁机制及其理论体系构建研究——基于新博弈格局视角

回顾中国旅游业发展历程可以发现,中央政府与地方政府这一对博弈主体之间关系及行为的变化深刻地影响着我国旅游业的发展与演化历程。而现有旅游制度研究当中大多以未明晰的“政府”主体与微观主体之间的二元博弈分析则存在着理论缺陷,它忽视了我国“地方政府”作为一个客观存在的博弈主体在与“中央政府”、“微观主体”之间进行动态博弈与旅游制度设计过程中所起到的关键性作用。基于上述认识,文章以地方政府经营旅游业原动力为出发点,分析我国自改革开放以来旅游业及其制度演变历程,从时空角度动态审视中央政府与地方政府这一对利益主体博弈关系的演化过程、展示其关系的演化轨迹、逻辑内涵与实质,并基于此初步提出构建旅游地多元博弈模型与适应性管理制度理论研究体系。     

Applying agent-based modeling to the evolution of eco-industrial systems

Agent-based modeling is simply a modeling technique for describing complex adaptive systems in a form that can be solved by computers. In this paper, agent-based modeling is applied to eco-industrial systems to gain new insights into their behavior. The factory in the eco-industrial systems is taken as an agent, and the objects, attributes and behaviors are determined. Some important interaction mechanisms between agents are also designed. Besides, the sustainability evolution is also studied through emergy theory. More importantly, a new concept, the Internal-flow emergy, is used to indicate the evolution direction of an eco-industrial system. Finally, a hypothetical eco-industrial park utilizing natural gas and halite as the main raw material inputs is adopted as a case study to illustrate the effectiveness of the agent-based modeling.