在卫星的状态估计过程中应用推广的序列估计算法，借助数值积分方法积分状态向量和协方差矩阵。
For the estimation of satellite state, the extended sequential estimation algorithm was applied. The numerical method was used to integrate state vector and error covariance matrix.
针对结构隐式极限状态函数的可靠性分析，提出了一种支持向量机分类迭代算法。
For reliability analysis of structure with implicit limit state function, an iterative algorithm was presented on the basis of support vector classification machine.
采用一种稍加修改的强跟踪滤波算法估计降阶状态向量，然后利用降阶状态向量估计非线性状态函数。
A slightly modified strong tracking filtering algorithm is used to estimate the reduced-order state vector, which is then used to estimate the nonlinear state function.
另一种是只设置一个在线支持向量机，用来逼近CSPS系统的所有状态-行动对的Q值函数的OSVM - Q - 1算法。
One is OSVM-Q, online SVM is set for each exploration state. The other is OSVM-Q-1, only one online SVM is set for all state-action of CSPS system.
另一种是只设置一个在线支持向量机，用来逼近CSPS系统的所有状态-行动对的Q值函数的OSVM - Q - 1算法。
One is OSVM-Q, online SVM is set for each exploration state. The other is OSVM-Q-1, only one online SVM is set for all state-action of CSPS system.
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