2015 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) 2015
DOI: 10.1109/red-uas.2015.7441003
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CLF based design for attitude control of VTOL-UAVs: An inverse optimal control approach

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Cited by 2 publications
(9 citation statements)
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“…In this section, the effectiveness of the proposed observer-based robust optimal control method is demonstrated using numerical simulations. There is a close relation between the proposed controller and the inverse optimal control method, thereby the inverse optimal controller [21] is also carried out to compare their performance. The parameters of helicopter system (1) are specified as m = 798.5kg, g a = 9.8m∕s 2 , and J 0 = diag[358.4,777.9,601.4] kg•m 2 [17].…”
Section: Simulation Resultsmentioning
confidence: 99%
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“…In this section, the effectiveness of the proposed observer-based robust optimal control method is demonstrated using numerical simulations. There is a close relation between the proposed controller and the inverse optimal control method, thereby the inverse optimal controller [21] is also carried out to compare their performance. The parameters of helicopter system (1) are specified as m = 798.5kg, g a = 9.8m∕s 2 , and J 0 = diag[358.4,777.9,601.4] kg•m 2 [17].…”
Section: Simulation Resultsmentioning
confidence: 99%
“…In this section, the effectiveness of the proposed observer‐based robust optimal control method is demonstrated using numerical simulations. There is a close relation between the proposed controller and the inverse optimal control method, thereby the inverse optimal controller [21] is also carried out to compare their performance. The parameters of helicopter system () are specified as m=798.50.1emkg,0.1emga=9.80.1emnormalm/s2$$ m=798.5\kern0.1em \mathrm{kg},{g}_a=9.8\kern0.1em \mathrm{m}/{\mathrm{s}}^2 $$, and J0=normaldiagfalse[358.4,777.9,601.4false]0.1emkg·normalm2$$ {J}_0=\operatorname{diag}\left[\mathrm{358.4,777.9,601.4}\right]\kern0.1em \mathrm{kg}\cdotp {\mathrm{m}}^2 $$ [17].…”
Section: Simulation Resultsmentioning
confidence: 99%
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