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机译:通过无味卡尔曼滤波在线估计和识别形状记忆合金驱动的柔性结构
Advanced Dynamic & Control Systems Laboratory (ADCSL), School of Mechanical Engineering, College of Engineering University of Tehran, Tehran, Iran,Department of Mechanical Engineering and Centre for Intelligent Machines, McGill University, 817 Sherbrooke St. West Montreal, Quebec, H3A 2K6, Canada;
Advanced Dynamic & Control Systems Laboratory (ADCSL), School of Mechanical Engineering, College of Engineering University of Tehran, Tehran, Iran;
shape memory alloy; state estimation; parameter identification; non-linearity and hysteresis; unscented kalman filtering; adaptive model-based control;
机译:在线估计自动移动机器人锂离子电池模型参数和荷电状态的自适应无味卡尔曼滤波方法
机译:使用扩展和无味卡尔曼滤波器的高度非线性刚度柔性机械臂状态估计
机译:使用扩展和无味卡尔曼滤波器的高度非线性柔性机械臂状态估计
机译:基于HIFINITY和UNSCENTED KALMAN滤波器的在线估算用于锂离子电池
机译:无味卡尔曼滤波,用于相对姿态和位置估计。
机译:基于单摄像机运动和形状估计的无味卡尔曼滤波
机译:扩展和Uncented Kalman滤波应用于具有JERK估计的柔性联合机器人
机译:Unscented卡尔曼滤波与Unscented schmidt卡尔曼滤波在预测地球同步卫星姿态和相关不确定性中的比较。