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Informations générales |
| Auteur |
Xue-bo, Jin; Jing-jing, Du; Jia, Bao |
| Publié |
InTech Open Access Publisher, 2012
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| Abstract |
Due to event‐triggered sampling in a system, or
maybe with the aim of reducing data storage, tracking
many applications will encounter irregular sampling
time. By calculating the matrix exponential using an
inverse Laplace transform, this paper transforms the
irregular sampling tracking problem to the problem of
tracking with time‐varying parameters of a system. Using
the common Kalman filter, the developed method is used
to track a target for the simulated trajectory and video
tracking. The results of simulation experiments have
shown that it can obtain good estimation performance
even at a very high irregular rate of measurement
sampling time. |
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International Journal of Advanced Robotic Systems
Auteur: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publié: 2004
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