http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
An Approach for System Identification in Unmanned Surface Vehicles
Izzet Kagan Erunsal,Kenan Ahiska,Murat Kumru,Mehmet Kemal Leblebicioglu 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
In this study, a system identification methodology is introduced to determine the model parameters of unmanned surface vehicles. The proposed identification scheme is based on sequencing the experiments according to their capabilities to identify the model parameters. In each experiment, the parameters to be found are updated and the results are validated before ascertaining the final value. A procedure to complete the identification work in an experiment, namely the required post-processing, the optimization routines, the cost function evaluations are defined and discussed. The final parameter set is validated in random motion tests with rich motion content. It has been observed that the proposed method elicits a parameter identification with remarkable success.