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| 1 | Direct adaptive neural control for stabilization of nonlinear time-delay systems显示文摘This paper is concerned with the problem of adaptive neural control for uncertain nonlinear strict-feedback time-delay systems with unknown virtual control coefficients. Radial basis function (RBF) neural networks are employed to directly approximate unknown virtual control signals, and then the adaptive neural control law is constructed by Lyapunov-Krasovskii functionals and backstepping. In order to avoid encountering a large number of adaptive parameters when using RBF neural networks as function approximators, an unknown constant, instead of unknown neural weights themselves, is employed as the estimated parameter. This technique makes only one adaptive parameter tuned online, thus significantly alleviating the burdensome computation. Meanwhile, some continuous functions are introduced to overcome the design difficulty originating from the use of one adaptive parameter. The proposed adaptive control guarantees the boundedness of all the signals in the closed-loop system. Simulation studies are presented to illustrate the effectiveness of the scheme. | WANG Min ZHANG SiYing CHEN Bing LUO Fei | 2010 | Science China(Information Sciences)2010，53，4： | 17 |
| 2 | Robust adaptive backstepping control for a class of uncertain nonlinear systems based on disturbance observers显示文摘In this paper, a novel robust adaptive control scheme for a class of uncertain nonlinear systems is proposed using disturbance observer and backstepping method.Firstly, a disturbance observer is developed using radial basis function(RBF) neural network.The parameter updated law of the RBF neural network is given for monitoring subsystem disturbance well.The robust adaptive control scheme is then presented with backstepping method based on the designed disturbance observer.Semiglobal uniform ultimate boundedness(SGUUB) of all signals in the closed-loop uncertain nonlinear system is achieved.The closed-loop system stability analysis shows that semiglobal uniform boundedness of all signals is guaranteed by appropriately choosing design parameters.Finally, two examples are taken to illustrate the effectiveness of the proposed control scheme. | MEI Rong WU QingXian JIANG ChangSheng | 2010 | Science China(Information Sciences)2010，53，6： | 10 |
| 3 | High dynamic adaptive mobility network model and performance analysis显示文摘Since mobile networks are not currently deployed on a large scale,research in this area is mostly by simulation.Among other simulation parameters,the mobility model plays a very important role in determining the protocol performance in MANET.Based on random direction mobility model,a high dynamic adaptive mo-bility network model is proposed in the paper.The algorithms and modeling are mainly studied and explained in detail.The technique keystone is that normal dis-tribution is combined with uniform distribution and inertial feedback control is combined with kinematics,through the adaptive control on nodes speed and pre-diction tracking on nodes routes,an adaptive model is designed,which can be used in simulations to produce realistic and dynamic network scenarios.It is the adaptability that nodes mobile parameters can be adjusted randomly in three-dimensional space.As a whole,colony mobility can show some rules.Such ran-dom movement processes as varied speed and dwells are simulated realistically.Such problems as sharp turns and urgent stops are smoothed well.The model can be adapted to not only common dynamic scenarios,but also high dynamic sce-narios.Finally,the mobility model performance is analyzed and validated based on random dynamic scenarios simulations. | LIU Hui ZHANG Jun | 2008 | Science in China(Series F)2008，51，8： | 4 |
| 4 | 高动态自适应移动网络模型及其性能分析显示文摘由于实际部署经验的匮乏,仿真成为一种研究移动网络的必不可少的手段,而移动模型的选取则是仿真验证各种协议性能的关键.文中基于随机方向移动模型的理论,提出了高动态自适应移动网络模型,研究了其算法和建模实现.基本思想是将正态分布与均匀分布相结合,以及将惯性反馈控制理论和运动学相结合,通过对节点速度的自适应控制和运动路线的预测跟踪,设计实现了一种自适应节点运动特征的高动态移动模型.模型的自适应性表现在可根据预测路线在三维空间内随机变化并调节节点运动速度和轨迹,群体移动可体现出一定的规律性.该模型不但适用于一般动态环境,而且对高动态环境有很好的适应性,逼真模拟了节点匀速、匀变速、变加速和驻留等随机运动过程,能很好地解决急转和突停等问题.最后对模型性能进行了随机场景仿真分析,验证了其有效性. | 刘慧 张军 | 2008 | 中国科学(E辑)2008，38，2： | 2 |
| 5 | 随机非完整链式系统的自适应状态反馈镇定(英文)显示文摘基于反步技术,对带有不确定非线性项和不确定非线性系数的随机非完整链式系统,设计了自适应状态反馈镇定器.给出了能够保证系统依概率几乎渐近稳定到平衡点的切换控制.最后用仿真验证了控制器的有效性. | 张东凯 王朝立 陈华 | 2012 | 控制理论与应用2012，29，11： | 1 |
| 6 | 随机非完整系统控制问题综述和展望显示文摘随着随机非线性控制的发展,随机非完整系统的控制引起了学者们的注意.本文首先探讨了随机非完整控制系统的镇定问题,涉及严反馈链式系统的反馈镇定和不满足严反馈的移动机器人镇定等;其次,介绍了该系统跟踪控制及现状;最后,在总结现有结果的基础上,分析了随机非完整系统发展的趋势,给出了6个可能的研究方向. | 冯文莉 张东凯 王朝立 杜庆辉 | 2017 | 南京信息工程大学学报(自然科学版)2017，9，3： | 0 |
| 7 | 随机时滞非完整系统的自适应控制器设计显示文摘本文处理具有随机时滞的非完整系统的控制器设计问题。目标是对这类随机时滞非完整系统通过应用非连续控制,设计一个依概率全局渐进稳定控制器。基于第一个子系统的输出测量的切换控制方案的应用得到系统渐进稳定。应用基于建设性操作的积分反推技术来设计控制器。系统的依概率渐进稳定得到实现。仿真算例进一步证明了设计过程的有效性。 | 郑秀云 李明 | 2012 | 潍坊学院学报2012，12，4： | 0 |
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