Data‐based nonlinear learning control for aircraft trajectory tracking via Gaussian process regression
In this article, a new data‐based iterative learning control (ILC) algorithm is proposed via Gaussian process regression (GPR) to accomplish the trajectory tracking objective of aircraft subject to completely unknown dynamics and strong nonlinearities. The nonlinear system input–output relationship...
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| Veröffentlicht in: | International journal of robust and nonlinear control 2024-10, Vol.34 (15), p.10480-10493 |
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| container_end_page | 10493 |
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| container_issue | 15 |
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| container_title | International journal of robust and nonlinear control |
| container_volume | 34 |
| creator | Wei, Chuyu Meng, Deyuan Zhang, Jingyao Cai, Kaiquan |
| description | In this article, a new data‐based iterative learning control (ILC) algorithm is proposed via Gaussian process regression (GPR) to accomplish the trajectory tracking objective of aircraft subject to completely unknown dynamics and strong nonlinearities. The nonlinear system input–output relationship of the unknown aircraft is formulated through GPR by leveraging historical data, based on which an optimal ILC framework is established. The monotonic convergence analysis of the GPR‐based ILC is explored such that high‐precision tracking tasks can be accomplished without prior model knowledge. Simulation tests are further conducted on a commercial aircraft performing a continuous climb operation to illustrate the effectiveness of the GPR‐based ILC approach. |
| doi_str_mv | 10.1002/rnc.7526 |
| format | Article |
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| ispartof | International journal of robust and nonlinear control, 2024-10, Vol.34 (15), p.10480-10493 |
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| language | eng |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Aircraft control Aircraft performance aircraft trajectory tracking Algorithms Commercial aircraft Gaussian process Gaussian process regression iterative learning control Machine learning Nonlinear control Nonlinear dynamics Nonlinear systems Nonlinearity Tracking |
| title | Data‐based nonlinear learning control for aircraft trajectory tracking via Gaussian process regression |
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