基于神经网络的模糊自适应PID控制方法

提出一种基于BP神经网络的模糊自适应PID控制器。该控制器综合模糊控制、神经网络与PID调节各自的优点，既具有模糊控制的简单和有效的非线性控制作用，又具有神经网络的学习和适应能力，同时具备PID控制的广泛适应性，仿真实验表明该控制器对模型、环境具有较好的适应能力和较强的鲁棒性。     

Adaptive tracking control of manipulators: Theory and experiments

This paper considers the trajectory tracking problem for uncertain robot manipulators and proposes two adaptive controllers as solutions to this problem. The first controller is derived under the assumption that the manipulator state is measurable, while the second strategy is developed for those applications in which only position measurements are available. The adaptive schemes are very general and computationally efficient since they do not require knowledge of either the mathematical model or the parameter values of the manipulator dynamics, and are implemented without calculation of the robot inverse dynamics or inverse kinematic transformation. It is shown that the control strategies ensure uniform boundedness of all signals in the presence of bounded disturbances, and that the ultimate size of the tracking errors can be made arbitrarily small. Experimental results are presented for a PUMA 560 manipulator and demonstrate that accurate and robust trajectory tracking can be achieved by using the proposed controllers.     

人造导星技术及导星用激光系统

论述了自适应光学系统对人造导星的需要;简单介绍了两类激光导星;重点描述了销激光导星的产生机理及可用于销激光导星的一些激光系统.     

Adaptive control in a heating vessel: A comparative study

This paper presents experimental results obtained in temperature adaptive control of a heating vessel. A non-linear model of the process showed that the feed flow rate causes severe variations in time constant and process gain. An extended horizon self-tuning controller and two different model reference adaptive controllers were tested. The influence of design parameters on control performance for each algorithm was assessed. The control system was disturbed with load and setpoint changes.     

机载雷达空时二维信号处理自适应权值训练的距离分段递推算法

本文针对机载预警雷达的杂波环境，分析了杂波数据的非平稳性，由此提出在距离上分段实现空时二维自适应处理（STAP）的方法，并通过分析杂波于空间的距离来确定分段的方法。在同时考虑实时性和处理器性能的前提下，给出了一种自适应权值计算的递推算法。理论分析和计算机仿真结果均表明，本文提出的分段递推算法是有效的。     

Comparative study on adaptive rational macromodels of highly resonant structures

Two macromodeling techniques using rational bases are investigated to accurately predict the natural frequencies of highly resonant microwave structures. Three methods are proposed and compared to calculate pole‐free solutions to the Thiele continued fraction and vector fitting pole‐residue models of the characteristic equation det[Z(s)]. © 2007 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2007.     

基于智能模糊控制策略的有源消声

有源消声是一种有效的低频噪声控制方法，由于空间有源消声过程具有时变性和非线性，传统的自适应算法不能进行很有效的控制。本文采用智能模糊控制策略，建立了基于智能模糊控制策略的有源消声系统，通过实验与传统自适应控制算法的消声效果作对比分析，证明智能模糊控制器不但控制速度快，易于实现，而且消声效果明显优于后者，具有较大的应用推广价值。     

数字微波无线通信系统中的中频自适应均衡器

在数字微波无线通信系统中，由于多径衰落引起码间干扰，使系统性能恶化，必须采用抗多径衰落的措施．中频频域均衡器（ＩＦＥ）由于结构简单而且经济，在衰落不十分严重的情况下性能良好，因而在数字微波系统中被广泛采用．本文比较了几种常用的ＩＦＥ，并着重对自适应谐振武中频均衡器的两种调节方法作了研究．模拟计算得到的ｓｉｇｎａｔｕｒｅ曲线表明，这种均衡器对非最小相位（ＭＭＰ）信道的传输性能有很大的改进，且两种调节法可达到相近的结果，如选择其中较简单的调节法，可以简化硬件结构．     

漆包线热处理系统的非线性建模和自适应控制

建立了漆包线热处理系统从开工到进入工作点附近整个过程的非线性数学模型,并提出 了一种非线性自适应控制算法,仿真表明,该算法有良好的控制效果.     

无线传感器网络MAC协议的性能改进研究

在无线传感器网络中,MAC协议决定着网络的信道分配,对网络的性能有很重要的影响。目前已研究出多种S-MAC协议,其中S-MAC协议是一种典型的无线传感器网络MAC协议,但此协议存在一定缺陷,无法更好地适应传感器网Jj络多变的特点。针对该问题,在S-MAC协议的基础上,结合了自适应退避窗口和根据节点队列长度预测流量的思想,提出了一种新的协议-Q-MAC协议,并达到了较为理想的预测效果。经NS2仿真验证,此协议在平均延迟、吞吐量、能量消耗方面较S-MAC协议有了显著提高。