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Mars entry trajectory tracking compoud control based on non..:

, In: 9th International Symposium on Test Automation & Instrumentation (ISTAI 2022),

Dai, j. ; Zhu, S. ; Fan, C.. - p. None , 2022

Link: https://doi.org/10.1049/icp.2022.3211

RT 
T1 <cTitle>9th International Symposium on Test Automation & Instrumentation (ISTAI 2022)</cTitle>: T1 <Title>Mars entry trajectory tracking compoud control based on nonsingular fast terminal sliding mode and RBF neural network</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10026644&Exemplar=1&LAN=DE
				
A1 Dai, j.
A1 Zhu, S.
A1 Fan, C.
A1 Li, J.
YR 2022
K1 control system synthesis
K1 entry, descent and landing (spacecraft)
K1 Lyapunov methods
K1 Mars
K1 neurocontrollers
K1 radial basis function networks
K1 stability
K1 trajectory control
K1 uncertain systems
K1 variable structure systems
K1 approach speed
K1 catheter landing stability
K1 controller design
K1 glide mode control
K1 high-speed nondigital final slip controller
K1 Lyapunov theory
K1 Mars entry trajectory tracking compoud control
K1 Mars landing simulation
K1 Mars probe entry trajectory
K1 Mars probe atmospheric entry section
K1 nonlingual high-speed terminal
K1 nonsingular fast terminal sliding mode
K1 parachute opening point
K1 probe landing trajectory
K1 radial base function neural network
K1 RBF neural network
K1 system interruptions
K1 track tracking error
K1 uncertain alarms
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2022.3211
DO https://doi.org/10.1049/icp.2022.3211
SF ELIB - SuUB Bremen

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