Distributed Optimal Attitude Synchronization Control of Multiple QUAVs via Adaptive Dynamic Programming

This article proposes a distributed optimal attitude synchronization control strategy for multiple quadrotor unmanned aerial vehicles (QUAVs) through the adaptive dynamic programming (ADP) algorithm. The attitude systems of QUAVs are modeled as affine nominal systems subject to parameter uncertainti...

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Vydané v:	IEEE transaction on neural networks and learning systems Ročník 35; číslo 6; s. 8053 - 8063
Hlavní autori:	Guo, Zijie, Li, Hongyi, Ma, Hui, Meng, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.06.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive control Adaptive dynamic programming (ADP) Algorithms attitude constraints Attitude control Attitudes Closed loops concurrent learning (CL) Constraints Control systems Cost function distributed optimal synchronization control Dynamic programming Feedback control Neural networks Parameter uncertainty Robustness Safety Stability Synchronism Synchronization Uncertainty Unmanned aerial vehicles Unmanned helicopters
ISSN:	2162-237X, 2162-2388, 2162-2388
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