Adaptive Flight Control Design for the Unmanned Aerial Vehicles

Gao, Li; Wen-hai, WU; Zhou, Siyu

doi:10.1109/icicta.2011.97

Cited by 2 publications

(3 citation statements)

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“…is the state predicting error between the practical system (1) and the state predictor (10). Γ is the adaptive gain and Γ > 0.…”

Section: Problem Formulationmentioning

confidence: 99%

“…First, we consider the following state predictor: (10) and the estimates of the adaptive law,ω(t) andŴ i (t), i = 0, ..., n − 1, are defined as follows:…”

Section: Problem Formulationmentioning

confidence: 99%

“…The above achievements all show that besides two typical advantages of adaptive control, robustness and disturbance rejection, the most prominent characteristic of this control method is providing both the closed-loop system stability and the guaranteed transient performance at the same time. Because of such superiorities, L 1 adaptive control method has been preliminarily applied in some industrial fields, especially in aerospace industry [6]- [10].…”

mentioning

confidence: 99%

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L<inf>1</inf> neural network adaptive control for systems with matched and unmatched uncertainties

Fan

2011

2011 International Conference on Electrical and Control Engineering

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This paper designs a new L 1 adaptive controller based on neural network technique for a class of nonlinear systems, which not only contain the matched uncertainty but also the unmatched uncertainty. This new controller ensures both the stability of the closed-loop system and the uniform boundedness of its transient performance. Finally, simulations give some illustrations and comparisons. Index Terms-L 1 adaptive control, neural network, matched uncertainty, unmatched uncertainty.

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“…is the state predicting error between the practical system (1) and the state predictor (10). Γ is the adaptive gain and Γ > 0.…”

Section: Problem Formulationmentioning

confidence: 99%

“…First, we consider the following state predictor: (10) and the estimates of the adaptive law,ω(t) andŴ i (t), i = 0, ..., n − 1, are defined as follows:…”

Section: Problem Formulationmentioning

confidence: 99%

mentioning

confidence: 99%

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