000727666 000__ 03469cam\a2200433Ii\4500
000727666 001__ 727666
000727666 005__ 20230306140931.0
000727666 006__ m\\\\\o\\d\\\\\\\\
000727666 007__ cr\cn\nnnunnun
000727666 008__ 150615s2015\\\\sz\a\\\\ob\\\\001\0\eng\d
000727666 020__ $$a9783319164175$$qelectronic book
000727666 020__ $$a3319164171$$qelectronic book
000727666 020__ $$z9783319164168
000727666 035__ $$aSP(OCoLC)ocn911032798
000727666 035__ $$aSP(OCoLC)911032798
000727666 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dN$T$$dIDEBK$$dYDXCP$$dEBLCP$$dDEBSZ$$dUPM$$dAZU
000727666 049__ $$aISEA
000727666 050_4 $$aTL589.4
000727666 08204 $$a629.132/6$$223
000727666 1001_ $$aHajiyev, Chingiz,$$eauthor.
000727666 24510 $$aState estimation and control for low-cost unmanned aerial vehicles$$h[electronic resource] /$$cChingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural.
000727666 264_1 $$aCham :$$bSpringer,$$c2015.
000727666 300__ $$a1 online resource (xii, 232 pages) :$$billustrations.
000727666 336__ $$atext$$btxt$$2rdacontent
000727666 337__ $$acomputer$$bc$$2rdamedia
000727666 338__ $$aonline resource$$bcr$$2rdacarrier
000727666 504__ $$aIncludes bibliographical references and index.
000727666 5050_ $$aIntroduction to Unmanned Aerial Vehicles -- Equations of Motion for the UAV -- Navigation Systems for UAV -- Estimation of the UAV Dynamics -- Estimation of the UAV Dynamics -- Estimation of the UAV Dynamics in the Presence of Sensor Faults -- Estimation of the UAV Dynamics in the Presence of Sensor/Actuator Faults -- Fault Detection, Isolation and Data Fusion for the UAV Air Data System -- Stability Analysis for the UAV -- Classical Controller Design for the UAV -- LQR Controller Design -- Fuzzy Logic Based Controller Design.
000727666 506__ $$aAccess limited to authorized users.
000727666 520__ $$aThis book discusses state estimation and control procedures for a low-cost unmanned aerial vehicle (UAV). The authors consider the use of robust adaptive Kalman filter algorithms and demonstrate their advantages over the optimal Kalman filter in the context of the difficult and varied environments in which UAVs may be employed. Fault detection and isolation (FDI) and data fusion for UAV air-data systems are also investigated, and control algorithms, including the classical, optimal, and fuzzy controllers, are given for the UAV. The performance of different control methods is investigated and the results compared. State Estimation and Control of Low-Cost Unmanned Aerial Vehicles covers all the important issues for designing a guidance, navigation and control (GNC) system of a low-cost UAV. It proposes significant new approaches that can be exploited by GNC system designers in the future and also reviews the current literature. The state estimation, control and FDI methods are illustrated by examples and MATLAB® simulations. State Estimation and Control of Low-Cost Unmanned Aerial Vehicles will be of interest to both researchers in academia and professional engineers in the aerospace industry. Graduate students may also find it useful, and some sections are suitable for an undergraduate readership.
000727666 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 16, 2015).
000727666 650_0 $$aDrone aircraft$$xControl systems.
000727666 650_0 $$aObservers (Control theory)
000727666 7001_ $$aSoken, Halil Ersin,$$eauthor.
000727666 7001_ $$aVural, Sıtkı Yenal,$$eauthor.
000727666 852__ $$bebk
000727666 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-16417-5$$zOnline Access$$91397441.1
000727666 909CO $$ooai:library.usi.edu:727666$$pGLOBAL_SET
000727666 980__ $$aEBOOK
000727666 980__ $$aBIB
000727666 982__ $$aEbook
000727666 983__ $$aOnline
000727666 994__ $$a92$$bISE