基于推广卡尔曼滤波的多站被动式融合跟踪

将推广卡尔曼滤波(EKF)算法与集中式融合跟踪算法相结合，用于被动式多站跟踪，给出了基于EKF的被动式多站集中式融合跟踪算法。该算法可解决被动式跟踪系统的可观测性及非线性问题。以三个站进行跟踪为例，进行了仿真研究，结果表明该算法具有满意的跟踪性能。     

捷联惯导系统的可观测性和可观测度研究

可观测性和可观测度分析是确定动态系统卡尔曼滤波效果的重要环节．本文首次提出了一种时变动态系统可观测性矩阵的奇异值分解分析方法，应用于捷联惯导系统初始对准过程中系统状态的可观测度分析取得显著效果，该方法为初始对准中载体最佳机动方案选择提供了依据．计算机仿真结果表明了该方法的有效性．     

基于正交函数逼近变换的分布参数系统可控性与可观性

基于偏微分方程谱分解原理，采用正交函数逼近技术，给出了分布参数系统逼近可控性、可观性的定义，并研究线性分布参数系统逼近可控性与可观性的判定方法。还研究了两种典型分布参数系统在不同形式控制与观测情况下的逼近可控性与可观性判据。     

船用平台式INS光学标校初始对准方法研究

为了解决航海型平台式惯性导航系统（INS）非自主式初始对准问题，建立了不同观测量条件下统一的INS初始对准方程。通过系统可观测性分析，得出增加外部姿态角的观测信息将有效提高INS平台失准角和惯性元件误差的估计能力的结论。设计出一种独特的可测量低动态载体两维姿态的高精度光学测量系统（OCS）用以提高航海型平台式INS初始对准精度。建立OCS／GPS／计程仪（LOG）／INS初始对准卡尔曼滤波器，并进行了基于部分试验数据的数字仿真，与传统的基于位置和速度的GPS／LOG／INS初始对准方法相比，基于OCS的系统不仅缩短了对准时间，还有效改善了系统惯性元件的误差估计精度。     

Self-alignment of full skewed RSINS：observability analysis and full-observable Kalman filter

Traditional orthogonal strapdown inertial navigation sys-tem （SINS） cannot achieve satisfactory self-alignment accuracy in the stationary base： taking more than 5 minutes and al the iner-tial sensors biases cannot get ful observability except the up-axis accelerometer. However, the ful skewed redundant SINS （RSINS） can not only enhance the reliability of the system, but also improve the accuracy of the system, such as the initial alignment. Firstly, the observability of the system state includes attitude errors and al the inertial sensors biases are analyzed with the global perspective method： any three gyroscopes and three accelerometers can be assembled into an independent subordinate SINS （sub-SINS）;the system state can be uniquely confirmed by the coupling connec-tions of al the sub-SINSs;the attitude errors and random constant biases of al the inertial sensors are observable. However, the ran-dom noises of the inertial sensors are not taken into account in the above analyzing process. Secondly, the ful-observable Kalman filter which can be applied to the actual RSINS containing random noises is established; the system state includes the position, ve-locity, attitude errors of al the sub-SINSs and the random constant biases of the redundant inertial sensors. At last, the initial self-alignment process of a typical four-redundancy ful skewed RSINS is simulated： the horizontal attitudes （pitch, rol ） errors and yaw error can be exactly evaluated within 80 s and 100 s respectively, while the random constant biases of gyroscopes and accelero-meters can be precisely evaluated within 120 s. For the ful skewed RSINS, the self-alignment accuracy is greatly improved, mean-while the self-alignment time is widely shortened.     

指数稳定双系统同时近似可观测的充分条件

利用指数稳定半群生成元的谱理论,得到了判断指数稳定双系统在[0,∞)同时近似可观测的充分条件.{z1(t)=A1z1(t),z1(0)=x1,y1(t)=C1z1(t)2(t)=A2z2(t),z2(0)=x2,y2(t)=C2z2(t)     

线性时变系统全阶与降阶状态观测器

本文应用线性定常系统状态观测器的设计思想,给出了线性时变系统全阶与降阶状态观测器的设计。并且,线性定常系统全阶与降阶状态观测器也能由该设计给出。     

一类广义非线性系统状态观测器的设计

本文研究了一类非线性广义系统的状态观测器问题，在理想系统（不存在干扰、不确定项和非线性项的广义线性定常系数）完全可观测的条件下，根据不同的情况，分别利用广义系统解的基本理论和正常系统Ｌｙａｐｕｎｏｖ稳定性定理，对所研究的广义非线性系统分别设计了全阶的奇异Ｌｕｅｎｂｅｒｇｅｒ型非线性状态观测器和降价的正常线性或非线性变结构状态观测器，从所得结论可知，在系统结构确定的情况下，只要非线性满足Ｌｉｐｓｈｉ     

SOME PROBLEMS OF LYAPUNOV METHOD IN LINEAR CONTINUOUS-TIME SYSTEM

In this paper,some problems of Lyapunov method in linear continuous-time systemare discussed.In part 1,some motivations are given.In part 2,in order to get a good estimate ofthe decaying time in the system,the concept of appropriate Lyapunov function is introduced andthe condition of the system is given to guarantee the existence of the appropriate Lyapunov functionAn application of the appropriate Lyapunov function is introduced to give the bound of time varyingperturbation for the stable system.In part 3,some extensions of the Lyapunov asymptotical stabilitytheorem are given,where the condition of the total derivative of the Lyapunov function along thetrajectory of the system can be reduced from negative definiteness to semi-negative definiteness andcommon quadratic forms with some reasonable conditions,the example shows the extensions areinteresting.