Abstract
The state of a multicopter may not be measured directly by existing sensors. For example, since the speed of a multicopter is very low, its accurate value is difficult to be measured directly.
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References
Chen CT (1999) Linear system theory and design, 3rd edn. Oxford University Press, New York
Banerjee S, Roy A (2014) Linear algebra and matrix analysis for statistics. CRC Press, London
Vidyasagar M (2002) Nonlinear systems analysis. Society for Industrial and Applied Mathematics, Philadelphia
Hermann R, Krener AJ (1977) Nonlinear controllability and observability. IEEE Trans Autom Control 22(5):728–740
Leishman RC, Macdonald JC, Beard RW, McLain TW (2014) Quadrotors and accelerometers: state estimation with an improved dynamic model. IEEE Control Syst Mag 34(1):28–41
Kalman RE (1960) A new approach to linear filtering and prediction problems. J Basic Eng-T ASME 82(1):35–45
Gelb A. (Ed.) (1974) Applied optimal estimation. MIT Press, Cambridge, MA
Crassidis JL, Junkins JL (2011) Optimal estimation of dynamic systems. CRC Press, Boca Raton
Cristi R, Tummala M (2000) Multirate, multiresolution, recursive Kalman filter. Signal Process 80(9):1945–1958
Sun SL, Deng ZL (2004) Multi-sensor optimal information fusion Kalman filter. Automatica 40(6):1017–1023
Simon D (2006) Optimal state estimation: Kalman, H infinity, and nonlinear approaches. Wiley, New Jersey
Soatto S, Frezza R, Perona P (1996) Motion estimation via dynamic vision. IEEE Trans Autom Control 41(3):393–413
Müller PC, Weber HI (1972) Analysis and optimization of certain qualities of controllability and observability for linear dynamical systems. Automatica 8(3):237–246
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Quan, Q. (2017). Observability and Kalman Filter. In: Introduction to Multicopter Design and Control. Springer, Singapore. https://doi.org/10.1007/978-981-10-3382-7_8
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DOI: https://doi.org/10.1007/978-981-10-3382-7_8
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