Decision-making for unmanned aerial vehicle operation in icing conditions
暂无分享,去创建一个
[1] Tor Arne Johansen,et al. Icing detection and identification for unmanned aerial vehicles: Multiple model adaptive estimation , 2015, 2015 European Control Conference (ECC).
[2] Takashi Yoneyama,et al. Airplane Ice Accretion Detection Using Parameter Estimation , 2012 .
[3] Jose Palacios,et al. Analytical and experimental determination of airfoil performance degradation due to ice accretion , 2012 .
[4] K. Khorasani,et al. Robust observer-based fault diagnosis for an unmanned aerial vehicle , 2011, 2011 IEEE International Systems Conference.
[5] Harold E. Addy,et al. Icing Encounter Duration Sensitivity Study , 2009 .
[6] Andy P. Broeren,et al. Aerodynamic Simulation of Runback Ice Accretion , 2009 .
[7] F. Caliskan,et al. Neural Network Based Icing Identification and Fault Tolerant Control of a 340 Aircraft , 2007 .
[8] Alastair K. Cooke,et al. Simulation model of the NFLC Jetstream 31 , 2006 .
[9] Andy P. Broeren,et al. Iced-airfoil aerodynamics , 2005 .
[10] Petros G. Voulgaris,et al. Smart icing systems for aircraft icing safety , 2002 .
[11] Petros G. Voulgaris,et al. Parameter identification for inflight detection and characterization of aircraft icing , 2000 .
[12] Michael B. Bragg,et al. Effect of ice accretion on aircraft flight dynamics , 2000 .
[13] William R. Perkins,et al. DETECTION AND CLASSIFICATION OF AIRCRAFT ICING USING NEURAL NETWORKS , 2000 .
[14] Harold E. Addy,et al. A Wind Tunnel Study of icing Effects on a Natural Laminar Flow Airfoil , 2000 .
[15] Anand S. Rao,et al. Modeling Rational Agents within a BDI-Architecture , 1997, KR.
[16] C. A. Lucas. The effects of icing on the dynamic response of thick aerofoils , 1991, The Aeronautical Journal (1968).
[17] 韓國航空大學 航空 械工學科. 美聯邦航空廳(Federal Aviation Administration)의 航空機 製作檢査 制度의 現況 , 1979 .
[18] Mogens Blanke,et al. Diagnosis of Wing Icing Through Lift and Drag Coefficient Change Detection for Small Unmanned Aircraft , 2015 .
[19] Mogens Blanke,et al. Centralised versus Decentralised Control Reconfiguration for Collaborating Underwater Robots , 2015 .
[20] Yiqun Dong,et al. Inflight parameter identification and icing location detection of the aircraft: the time-varying case , 2014 .
[21] William R. Perkins,et al. An Interdisciplinary Approach to Inflight Aircraft Icing Safety , 1998 .
[22] R. J. Ranaudo,et al. Icing effects on aircraft stability and control determined from flight data: Preliminary results , 1993 .
[23] W. C. Schinstock,et al. The Measurement of Aircraft Performance and Stability and Control After Flight Through Natural Icing Conditions , 1986 .
[24] P. J. Perkins,et al. Performance degradation of a typical twin engine commuter type aircraft in measured natural icing conditions , 1984 .
[25] Jack,et al. JACK ® An Agent Infrastructure for Providing the Decision-Making Capability Required for Autonomous Systems , 2022 .