The DOI matches its Crossref record.
Iterative Learning Control for a Flapping Wing Micro Aerial Vehicle Under Distributed Disturbances
Abstract
This paper addresses a flexible micro aerial vehicle (MAV) under spatiotemporally varying disturbances, which is composed of a rigid body and two flexible wings. Based on Hamilton's principle, a distributed parameter system coupling in bending and twisting, is modeled. Two iterative learning control (ILC) schemes are designed to suppress the vibrations in bending and twisting, reject the distributed disturbances and regulate the displacement of the rigid body to track a prescribed constant trajectory. At the basis of composite energy function, the boundedness and the learning convergence are proved for the closed-loop MAV system. Simulation results are provided to illustrate the effectiveness of the proposed ILC laws.
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Cited by
Reinforcement learning-based optimal tracking control of an unknown unmanned surface vehicle
Wang, N., Gao, Y., Zhao, H., & Ahn, C. K. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3009214 · Cited by 322
Data-Driven Performance-Prescribed Reinforcement Learning Control of an Unmanned Surface Vehicle
Wang, N., Gao, Y., & Zhang, X. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3056444 · Cited by 282
Metadata
- Authors
- He, W., Meng, T., He, X., & Sun, C.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2019-04
- Volume
- 49
- Issue
- 4
- Pages
- 1524-1535
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W2802990478
- Cited by
- 329
- References
- 0
- FWCI
- 31.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Iterative Learning Control for a Flapping Wing Micro Aerial Vehicle Under Distributed Disturbances. https://app.cochat.ai/papers/10.1109/tcyb.2018.2808321
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- He, W., Meng, T., He, X., & Sun, C. (2019). Iterative Learning Control for a Flapping Wing Micro Aerial Vehicle Under Distributed Disturbances. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2018.2808321
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