自适应相位制中波同步广播及现场试验

在本试验中，采用智能同步广播激励器和ＣＣＴＶ传输的１ＭＨｚ标频，实现了中波同步广播同频保护率趋于０ｄＢ．并提出了自适应相位跟踪同步的概念。     

抑制微光波前传感器随机噪声的方法研究

在自适应光学系统微光波前传感器中采用像增强器后，高帧频CCD输出的图像中会产生严重的随机噪声，影响光斑质心计算精度，从而使自适应光学系统波前探测精度降低。本文根据微光波前传感器中CCD输出图像的特点对中值滤波，均值滤波，自相关，延时相关等多种方法进行了仿真和实验比较，并提出了一系列评价方法。研究表明延时相关算法是最佳选择。     

受干扰波相位测量的一种新方法

为了测量受噪声和谐波干扰的两个信号间的相位差，基于自适应带通滤波器（ABF）和测量信道交换技术，提出了一种新的测量方法。ABF采用可编程开关电容滤波器（PSCF）和锁相环，明显地抑制了噪声和谐波干扰，频率跟踪范围超过四个倍频程（0．5Hz-6kHz）。用微处理器控制4个开关来交换测量信道，可以基本上消除测量通道引入的附加相位移。两种方法结合提高了相位差的测量精度。实验说明了该测量方法的有效性，该方法也适合于被测信号为慢时变情况。     

用投影预变换提高自适应波束形成的稳健性

在快拍数较少和（或）存在系统误差时，自适应波束形成的性能会变差，特别是会引起方向图副瓣电平升高——波束畸变。本文提出的投影变换法利用干扰方向的初略估计，在未精确预知阵列流形的条件下，可以显著改善自适应方向图的副瓣性能，并提高自适应算法的收敛性，计算机仿真结果验证了这一优点。     

立式旋风锅炉的燃烧自适应控制

分析了立式旋风锅炉的燃烧特点和燃烧系统动态特性，讨论了它的软硬件构成及其功能。     

基于广义最小均方的自适应递归滤波算法

本文提出了一种广义最小均方(GLMS)算法,分析了GLMS算法的性能,并根据GLMS算法,导出一种自适应递归滤波(ARF)算法。在推导中,ARF算法避开了超稳定定理,从而考虑自适应系统的严格正实条件和Popov不等式是不必要的。计算机模拟表明ARF算法具有很高的收敛速度。     

Pragmatism, Adaptation, and Total Quality Management: Philosophy and Science in the Service of Managing Continuous Improvement

Today’s engineering managers who use total quality management (TQM) face the challenge of moving it from adoption to seamless incorporation into their organizations. Both the application and the theory of TQM can be advanced through an examination of the philosophy of pragmatism and the sciences of adaptation. Pragmatism provides a philosophy that establishes a theory for incorporating TQM into engineers’ management practice; it derives its epistemology from actual experience. In essence, pragmatism suggests that practical experience, such as that gained from the continuous improvement of and experimentation with TQM, provides the basis for successful organizational performance. The sciences of adaptation identify the characteristics of organizations that promote successful adaptation. They suggest that incremental adjustments to ongoing change are the keys to effective and successful growth. This paper explores both philosophy and science to identify actions and attitudes that can enable the success of TQM in an organization.     

Adaptive observers as nonlinear internal models

This paper shows how the theory of nonlinear adaptive observers can be effectively used in the design of internal models for nonlinear output regulation. The theory substantially enhances the existing results in the context of adaptive output regulation, by allowing for not necessarily stable zero dynamics of the controlled plant and by weakening the standard assumption of having the steady-state control input generated by a linear system.     

High accuracy path tracking for vehicles in presence of sliding: Application to farm vehicle automatic guidance for agricultural tasks

When designing an accurate automated guidance system for vehicles, a major problem is sliding and pseudo-sliding effects. This is especially the case in agricultural applications, where five-centimetre accuracy with respect to the desired trajectory is required, although the vehicles are moving on slippery ground. It has been established that RTK GPS was a very suitable sensor to achieve automated guidance with such high precision: several control laws have been designed for vehicles equipped with this sensor, and provide the expected guidance accuracy as long as the vehicles do not slide. In previous work, further control developments have been proposed to take sliding into account: guidance accuracy in slippery environments has been shown to be preserved, except transiently at the beginning/end of curves. In this paper, the design of this control law is first recalled and discussed. A Model Predictive Control method is then applied in order to preserve accuracy of guidance even during these curvature transitions. Finally, the overall control scheme is implemented, and improvements with respect to previous guidance laws are demonstrated through full-scale experiments.     

ON THE ROBUST GLOBAL STABILIZATION OF nth-ORDER REACTIONS

In this paper, we employ a nonlinear adaptive mechanism to globally stabilize n^th-order reactions.