网状被动传感器系统优化设计

结合网状被动传感器系统建设的需要,提出了网状被动传感器系统优化设计模型,依据优化设计模型提出了基于误差方差Cramer-Rao下界的优化设计算法。探讨了优化过程中指标集、目标集的确定方法,最后通过仿真计算分析了三种配置结构的性能。     

权重信息不完全的区间数多属性决策GRA方法

针对属性权重信息不完全,且属性值以区间数形式给出的多属性决策问题,提出了一种灰色关联分析的决策方法。该方法依据一般的灰色关联分析方法的基本思路,给出了解决属性权重信息不完全的区间数多属性决策问题的计算步骤。其核心是通过构建并求解一个单目标最优化模型,得到每个方案与正、负理想方案的关联度,进而计算出每个方案与正理想方案的相对关联度,即可得到所有方案的排序结果。最后给出一个数值例子,结果表明该方法简单、有效并易于计算。     

不确定Liu混沌系统的动态面跟踪控制

针对一类含有常参数不确定性及外部干扰的Liu混沌系统的跟踪控制问题,采用动态面控制方法设计了一个新颖的非线性自适应鲁棒跟踪控制器。该方法由于在逆推设计过程中结合使用了一阶低通滤波器,从而避免了因“微分项的膨胀”而引起的算法复杂性。理论分析及仿真结果均表明所得到的控制器能够保证闭环系统的半全局渐近稳定,使得输出渐近期望跟踪轨迹,且对不确定性具有良好的适应性及鲁棒性。     

基于观测器的时滞依赖鲁棒无源控制

研究一类带有参数不确定性和时变时滞的不确定线性系统的鲁棒无源控制问题。针对标称系统,利用线性矩阵不等式给出其时滞依赖无源性条件;讨论当系统的系数矩阵出现参数不确定时,存在基于观测器的控制器使得闭环系统是强鲁棒稳定且严格无源的时滞依赖性充分条件。构造出期望的观测器和控制器。数值算例说明结论的有效性。     

Design of Luenberger function observer with disturbance decoupling for matrix second-order linear systems-a parametric approach

1.INTRODUCTIONThere have been many approaches to disturbance de-couplinginlinear multivariable control systemdesign.Linnemann[1]proposed a numerically stable algorithmfor disturbance decoupling by measurement feedback.Van Der Woude[2]considered the combined problemof disturbance decoupling and stabilization by mea-surement feedback.Syrmos[3]proposed a numericallyefficient algorithm based on Sylvester equations forthe problemof disturbance decoupling with arbitrarypole placement usingstat…     

Feedforward and feedback optimal control for linear time-varying systems with persistent disturbances

1 .INTRODUCTIONIn nature ,there are various external disturbancesaffecting the performances of systems . Many con-trol problemsinvolve designing a controller capableof stabilizing a given linear system while mini mi-zing the worst-case response to some additive dis-turbances . This problemis relevant to disturbancerejection and cancellation. One application area ofinterest is flight control through wind shear ,where disturbances arise from a modal for windshear based on harmonic oscillati…     

Target tracking based on frequency spectrum amplitude

1 .INTRODUCTIONIn target tracking, attribute parameters can beused to i mprove the performance of data associa-tion. The probabilistic data association ( PDA)which employ the attribute enhance the capabilityof data association and i mprove the performancefor target tracking. The method of PDA is per-formedin the environment of high signal to noise(SNR) generally and the SNRis in excess of 10dB.But the SNRinthe actual environment is lowerthan 10 dB commonly . When SNRis below0 dB,…     

Sensor management based on fisher information gain

1 .INTRODUCTIONSensor management can be described as a systemor process that provides automatic or semi-auto-matic control of a group of sensors[1]. The basicobjective of sensor management is to select rightsensors to do the right service on the right targetat right ti me based on external measurements orcriteria[2]. A variety of techniques have been pro-posed or appliedtothe area of sensor management .One of the first articles to apply opti mization tech-nique to sensor management is by …     

Using the Viable Systems Model to Structure a System Dynamics Mapping and Modeling Project for the Australian Taxation Office

This paper is a case study of a major System Dynamics (SD) intervention in policy design in the Australian Taxation Office. The project, which lasted two years, tested a number of hypotheses regarding the application of Stafford Beer's Viable Systems Model (VSM) to the structure and process of the project. The paper reports that the success of the VSM within the ATO was qualified by political changes in the external environment.     

酪氨酸电氧化反应体系的[ip,v]数据处理方法研究

本文主要探讨依据较低电势扫描速率条件下的[ip，v]数据集而定量获取电活性物质的表面超额等参数的新的信息处理方法。