2022 8th International Conference on Control, Instrumentation and Automation (ICCIA) 2022
DOI: 10.1109/iccia54998.2022.9737165
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Adaptive Controller for Swash Mass Helicopter based on Reinforcement Learning Algorithm

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Cited by 3 publications
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“…The curve obtained through connecting all the b + k points is defined as Γ b+ ; in the same sense, Γ b− can be formed by linking all the b − k . The curves Γ b+ and Γ b− are shown by Equations ( 9) and (12), respectively. The curve obtained through linking all the c + k points is defined as Γ c+ , and Γ c− is formed by linking all the c − k .…”
Section: Asymmetrical Tracking Differentiatormentioning
confidence: 99%
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“…The curve obtained through connecting all the b + k points is defined as Γ b+ ; in the same sense, Γ b− can be formed by linking all the b − k . The curves Γ b+ and Γ b− are shown by Equations ( 9) and (12), respectively. The curve obtained through linking all the c + k points is defined as Γ c+ , and Γ c− is formed by linking all the c − k .…”
Section: Asymmetrical Tracking Differentiatormentioning
confidence: 99%
“…Mathematical simulations verify the proposed guidance law. In the simulation part, combined with the compound gradient descent (CGD) attitude estimation method and the ATD attitude control method [12][13][14][15], the feasibility of the proposed guidance and control law is tested through simulation of the landing process on moving platforms. The range of safety conditions for landing on a mobile platform is divided according to the simulation results of the landing process.…”
Section: Introductionmentioning
confidence: 99%
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