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A Kalman filter for linear continuous-discrete systems with asynchronous measurements

机译:具有异步测量的线性连续离散系统的卡尔曼滤波器

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This paper investigates an adaptation of the Kalman filter for linear continuous-discrete system with multirate sampled outputs. The contribution of this article is twofold. First, we prove the exponential convergence of this observer through the existence of bounds for the Riccati matrix. Second, we highlight a technical point that allows us, under certain conditions on the sampling procedure, to prove the stability of the Riccati equation, and show that observability is preserved under multi-rate sampling. An example with two sensor outputs is given for illustration. This study can lead to applications in mobile robotics where sensors produce outputs at different rates and asynchronously.
机译:本文研究了卡尔曼滤波器对具有多速率采样输出的线性连续离散系统的适应性。本文的贡献是双重的。首先,我们通过Riccati矩阵的界的存在证明了该观测器的指数收敛性。其次,我们强调一个技术要点,该技术要点允许我们在某些条件下的采样过程中证明Riccati方程的稳定性,并表明在多速率采样下可观察性得以保留。给出了一个具有两个传感器输出的示例。这项研究可以导致在移动机器人中的应用,其中传感器以不同的速率异步产生输出。

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