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5. Crowther, B., Riviere, X.: Flocking of autonomous unmanned air vehicles. In: Proceeding of the 17th UAV System conference, Bristol UK. (2002) 6. NASA, D.F.R.C.: New flight software allows UAVs to t

5. Crowther, B., Riviere, X.: Flocking of autonomous unmanned air vehicles. In: Proceeding of the 17th UAV System conference, Bristol UK. (2002)

6. NASA, D.F.R.C.: New flight software allows UAVs to team up for virtual fire experiment. (http://www.nasa.gov/centers/dryden/news/NewsReleases/2005/05- 12.html)

7. Calise, A., Preston, D.: Swarming/flocking and collision avoidance for mass airdrop of autonomous guided parafoils. In: AIAA Guidance, Navigation, and Control Conference and Exhibit. (2005)

8. Jadbabaie, A., Lin, J., Morse, A.: Coordination of groups of mobile autonomous agents using nearest neighbor rules. IEEE Trans. Automatic Control 48(6) (2003) 998–1001

9. Tanner, H., Jadbabaie, A., Pappas, G.: Stable flocking of mobile agents. part I: Static topology. In: Proceedings of the 42nd IEEE Conference on Decision and Control. (2003) 2010–2015

10. Tanner, H., Jadbabaie, A., Pappas, G.: Stable flocking of mobile agents. part II: Dynamic topology. In: Proceedings of the 42nd IEEE Conference on Decision and Control. (2003) 2016–2021

11. Gazi, V., Fidan, B.: Review of control and coordination of multi-agent dynamic systems: models and approaches. In Sahin, E., Spears, W., Winfield, A., eds.: Swarm Robotics Workshop (SAB06). Lecture Notes in Computer Science (2006)

12. Olfati-Saber, R.: Flocking for multi-agent dynamic systems: Algorithms and the- ory.  IEEE Transaction on Automatic Control 51(3) (March  2006)

13. Samilo¨glu, a., Gazi, V., Koku, B.: An empirical study on the motion of self- propelled particles with turn angle restrictions. In Sahin, E., Spears, W., Winfield, A., eds.: Swarm Robotics Workshop (SAB06). Lecture Notes in Computer Science (2006)

14. Hirobo Limited: XRB Lama helicopter. (http://model.hirobo.co.jp/products/0301- 905/index.html)

15. Holland, O.E., Woods, J., De Nardi, R., Clark, A.: Beyond swarm intelligence: The UltraSwarm. In: Proceedings of the IEEE Swarm Intelligence Symposium (SIS2005), IEEE (2005)

16. Memsense: nIMU nano inertial measurement unit. (http://www.memsense。com/ content/products/Datasheets/nIMUv1 92.pdf)

17. Jun, M., Roumeliotis, S., G.S., S.: State estimation via sensor modeling for heli- copter control using an indirect kalman filter. In: IEEE/RSJ International Con- ference on Intelligent Robots and Systems. (1999)

18. Gavrilets, V.: Autonomous Aerobatic Manouvering of Miniature. PhD thesis, Massachusetts Institute of Technology (2003)

19. van der Merwe, R., Wan, E.A.: Sigma-point kalman filters for integrated naviga- tion.  In: 60th Annual Meeting of The Institute of Navigation (ION).  (2004)

20. van der Merwe, R., Wan, E.A.: The square-root unscented kalman filter for state and parameter-estimation. In: International Conference on Acoustics, Speech, and Signal Processing. (2001)

21. Mettler, B., Tischler, M., Kanade, T.: System identification of a model-scale heli- copter. Technical Report CMU-RI-TR-00-03, Robotics Institute, Carnegie Mellon University,  Pittsburgh, PA (2000)

22. La Civita, M., Messner, W.C., Kanade, T.: Modeling of small-scale helicopters with integrated first-principles and system-identification techniques. In: American helicopter society 58th annual forum. (2002) 无人机英文文献和中文翻译(9):http://www.751com.cn/fanyi/lunwen_77356.html

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