机译:一种基于多项式混沌的卡尔曼滤波器
Bradley Department of Electrical and Computer Engineering, Northern Virginia Center, Virginia Polytechnic Institute and State University, Falls Church, VA, USA;
Bradley Department of Electrical and Computer Engineering, Northern Virginia Center, Virginia Polytechnic Institute and State University, Falls Church, VA, USA;
Bradley Department of Electrical and Computer Engineering, Northern Virginia Center, Virginia Polytechnic Institute and State University, Falls Church, VA, USA;
Chaos; Kalman filters; Dimensionality reduction; Random variables; Nonlinear dynamical systems; Uncertainty; Estimation;
机译:用于使用实际数据进行连续航天器姿态估计的非线性滤波:Cubature Kalman滤波,Unscented Kalman滤波和Extended Kalman滤波
机译:具有真实数据的连续航天器姿态估计的非线性滤波:Cubature Kalman滤波器,Unscented Kalman滤波器和扩展卡尔曼滤波器
机译:状态空间模型和卡尔曼滤波器的卡尔曼滤波器的卡尔曼滤波器识别
机译:基于多项式-混沌的贝叶斯方法与基于多项式-混沌的EKF方法进行参数估计的比较及其在车辆动力学中的应用
机译:混合-集成整体卡尔曼滤波和整体调整卡尔曼滤波方法在地下水污染物运移建模中的应用。
机译:基于Cubature卡尔曼滤波的机动目标跟踪的交互式多模型滤波改进算法。
机译:不同频率卡尔曼滤波与分立时Kalman滤波的比较研究,在语音信号中的噪声减少中的应用
机译:非线性滤波,卡尔曼与扩展卡尔曼滤波器之间的联系。