增益矩阵 meaning in Chinese
gain matrix
Examples
- We give rigorous performance analysis of adaptive systems
该部分对于多变量系统，研究了基于高频增益矩阵ki 。 - A test arranged to check lately and the result indicates that the new method can work efficiently , that the results were closer to the objective nature . 3 . to produce a new reduced kf scheme with svd , and construct the state transition matrix directly
浙江人学博十学位论文全文摘要3应用svd分解，推导了简约形式的卡尔曼滤波方法，并直接建立了显式的状态转移矩阵卡尔曼滤波法无法直接应用于海洋，其主要原因是增益矩阵的计算量太大。 - Hx theory and relative principle of filtering are studied . the relation between hx norm performance and riccati equation or inequality is discussed . the structure and plus matrix of hx filtering in different conditions ( linear discrete , linear continue and nonlinear system ) are given
介绍了h _基本思想和滤波的相关理论，讨论了h _范数与黎卡提方程和不等式的关系，讨论了卡尔曼滤波和h _滤波确定增益矩阵的方法，给出了各种不同情况下h _滤波的基本结构和增益矩阵的确定方法。 - In this chapter , mathematical model of a single machine infinite bus power system installed with statcom and svc is derived . 3 ) the possibility of the negative interactions among statcom controllers and svc controller in this smib power system is analyzed by using the rga method , and the time - domain simulation results demonstrate the analyzed results
以这个单机无穷大系统为研究对象，应用相对增益矩阵( rga ， relativegainarray )方法分析了statcom控制和svc控制器之间存在着负交互影响的可能性，并通过仿真实例验证了rga方法分析结果的正确性。 - This method can guarantee the solution matrix of sylvester equation to be inverse and the sum of the input gain norm and the observer gain norm is the minimum . for the linear systems with unknown parameters , we identify the parameters using hopfield network , then design the observers using the identified parameters , the exponential convergence of adaptive observer is also proved . for the linear time - varying systems , a new network to solve the time - varying sylvester equation is proposed , we analysis it ' s convergence and robustness , then , deign the linear time - varying observer using this network model , and we discuss the convergence of the observer and ruboustness to unknown match parameters
同时保证了sylvester方程的解矩阵的可逆性和观测器的增益矩阵与输入矩阵范数的和最小；在设计线性时不变自适应观测器时，首先利用系统的输入、输出数据设计一个hopfield网络参数估计器，进一步设计状态观测器，证明了参数估计器和状态观测器的指数收敛性；为了仍然从神经优化计算的角度设计线性时变系统的状态观测器，最后介绍了一种求解时变sylvester矩阵方程的神经网络模型，分析了它的收敛性和鲁棒性，然后利用该网络设计时变状态观测器，进一步讨论该观测器的在系统存在未建模不确定和外部噪声时的鲁棒性；最后给出了一种基于分离性原理和hopfield网络观测器的状态反馈闭环系统的结构，分析了该闭环系统的特点；对于每一种设计方法都给出了相应的数值仿真例子来进一步表明所提方法的可行性和有效性。