메뉴 건너뛰기




Volumn RA, Issue , 2006, Pages 82-88

A gain-scheduling approach for airship path-tracking

Author keywords

Airship; Gain scheduling; Optimal control; Path tracking; UAV

Indexed keywords

3D TURBULENT; AIR VELOCITIES; CONTROL LAWS; ENTIRE FLIGHT ENVELOPE; GAIN SCHEDULING; LATERAL MOTION; LINEAR MODEL; OPTIMAL CONTROL; OPTIMAL CONTROLLER; OPTIMAL CONTROLS; PATH TRACKING; REFERENCE PATH; SINGLE CONTROLLERS; WIND INPUT;

EID: 77954053103     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (14)
  • 4
    • 0037337842 scopus 로고    scopus 로고
    • Robotic airships for exploration of planetary bodies with an atmosphere: Autonomy challenges
    • Elfes, A., Bueno, S. S., Bergerman, M., de Paiva, E. C., JR., J. G. R., and Azinheira, J. R. (2003). Robotic airships for exploration of planetary bodies with an atmosphere: Autonomy challenges. Autonomous Robots, (14):147-164.
    • (2003) Autonomous Robots , Issue.14 , pp. 147-164
    • Elfes, A.1    Bueno, S.S.2    Bergerman, M.3    De Paiva, E.C.4    Jr., J.G.R.5    Azinheira, J.R.6
  • 11
    • 0001761076 scopus 로고    scopus 로고
    • Research on gain scheduling - Survey paper
    • Rugh, W. J. and Shamma, J. S. (2000). Research on gain scheduling - survey paper. Automatica, 36(10):1401-1425.
    • (2000) Automatica , vol.36 , Issue.10 , pp. 1401-1425
    • Rugh, W.J.1    Shamma, J.S.2
  • 14
    • 4444264801 scopus 로고    scopus 로고
    • Cooperative control systems of searching targets using unmanned blimps
    • Hangzhou, P.R.China. IEEE Press
    • Xia, G. and Corbett, D. R. (2005). Cooperative control systems of searching targets using unmanned blimps. In Proceedings of the 5th Worth Congress on Intelligent Control and Automation, volume 2, pages 1179-1183, Hangzhou, P.R.China. IEEE Press.
    • (2005) Proceedings of the 5th worth Congress on Intelligent Control and Automation , vol.2 , pp. 1179-1183
    • Xia, G.1    Corbett, D.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.