Adaptive Attitude Control of a Rigid Body With Input and Output Quantization

نویسندگان

چکیده

In this article, the adaptive attitude-tracking problem of a rigid body is investigated, where input and output are transmitted via network. To reduce communication burden in network, quantizer introduced both uplink downlink channels. An backstepping-based control scheme developed for class multiple-input multiple-output (MIMO) systems. The proposed algorithm can overcome difficulty to proceed with recursive design virtual controls quantized vector, new approach stability analysis by constructing compensation effects vector quantization quantization. It shown that all closed-loop signals ensured uniformly bounded tracking errors converge compact set containing origin. Experiments on 2 degrees-of-freedom helicopter system illustrate effectiveness scheme.

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ژورنال

عنوان ژورنال: IEEE Transactions on Industrial Electronics

سال: 2022

ISSN: ['1557-9948', '0278-0046']

DOI: https://doi.org/10.1109/tie.2021.3105999