An adaptive strategy for controlling chaotic system

This paper presents an adaptive strategy for controlling chaotic systems. By employing the phase space reconstruction technique in nonlinear dynamical systems theory, the proposed strategy transforms the nonlinear system into canonical form, and employs a nonlinear observer to estimate the uncertainties and disturbances of the nonlinear system, and then establishes a state-error-like feedback law. The developed control scheme allows chaos control in spite of modeling errors and parametric variations. The effectiveness of the proposed approach has been demonstrated through its applications to two well-known chaotic systems: Duffing oscillator and Rössler chaos.     

施工项目管理与项目成本控制

阐述施工项目管理的内容和特点,提出项目成本控制的原则和措施。     

启闭闸门开度的测量与控制

论述了启闭闸门开度的测量原理,对闸门开度测量与控制中的输出轴的转动及其方向的检测、计数、显示、限位控制、开度控制中的惯性调整、量化单位的确定、全可编程系数转换电路及其调整等问题进行阐述,并讨论了系统测量误差,对实际应用效果做了分析．     

被m次积分解类刻画的无限维系统的时间最优控制

讨论了一类被m次积分解类所刻画的控制系统的时间最优控制问题，并获得了时间最优控制的存在性和必要条件。     

斜拉桥拉索风雨激振研究近期进展

斜拉桥的拉索构件柔度大、阻尼小、质量轻，在风的激励下会产生涡激振动、尾流驰振和风雨激振。研究方法有风洞实验、理论分析和数值模拟。对近年来的研究成果包括各种研究方法的现状、风振控制措施以及存在问题进行了归纳。     

Clinical detection and movement recognition of neuro signals

INTRODUCTION Human limbs are complex, delicate systems.Their reconstruction, both for appearance and forfunction compensations, proves to be complicatedprojects. With the development of science and tech-nology, both researchers and disabilities hope to haveartificial limb much more perky, comfortable, dex-terous and effective. Although thousands of pros-thetic limbs are commercially available worldwide,most of them, from mechanical styles to electricstyles, from motion controlled t…     

WinSock控件在网络编程中的应用

WinSock控件是Windows应用程序和TCP/IP之间的一个接口控件。借助于WinSock控件可以有效地对网络进行编程。在论述了WinSock控件的原理及其特点的同时,重点给出了在VB下开发基于WinSock控件的网络通信程序及邮件处理程序的方法。     

植物耐盐性的信号传导途径及基因工程进展

就近几年来植物耐盐方面的研究热点如植物耐盐信号传导途径及植物耐盐基因工程进展等方面作了综述。     

VaR模型在我国养老基金投资风险控制中的应用

养老基金的投资面临多种风险,要实现其保值增值,必须进行风险度量和监控。VaR模型作为一种新的金融风险管理工具,因其有别于传统的金融风险管理工具的特点,在西方受到广泛青睐。探讨该模型在我国养老基金投资风险控制中的应用。     

Direct - Torque, Neuro - Fuzzy Control of Induction Motor

Fuzzy systems are currently being used in a wide field of industrial and scientific applications. Since the design and especially the optimization process of fuzzy systems can be very time consuming, it is convenient to have algorithms which construct and optimize them automatically. In order to improve the system stability and raise the response speed, a new control scheme, direct - torque neuro - fuzzy control for induction motor drive, was put forward. The design and tuning procedure have been described. Also, the improved stator flux estimation algorithm, which guarantees eccentric estimated flux has been proposed.