Decentralized adaptive quantized feedback tracking of a class of uncertain interconnected lower-triangular nonlinear systems

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초록

A decentralized adaptive quantized feedback tracking problem is addressed for uncertain interconnected nonlinear systems in a strict-feedback form. All local state variables for each subsystem are quantized by a hysteresis quantizer. Different from the existing results in the literature, the primary contribution of this study is to establish an adaptive control design and stability analysis strategy using the local quantized state variables in the decentralized tracking field. A novel recursive design approach is presented to deal with unmatched interconnections and nonlinearities in the quantized feedback control framework, without any restrictions on virtual control laws. The total closed-loop stability is analyzed by deriving some technical lemmas on the boundedness of quantization error signals. © 2020 ISA

키워드

Decentralized adaptive trackingState quantizationUnmatched nonlinear interactionsControl nonlinearitiesNonlinear systemsQuantization (signal)Adaptive control designsClosed loop stabilityDecentralized trackingInterconnected nonlinear systemsPrimary contributionQuantization errorsQuantized feedbackQuantized feedback controlFeedback
제목
Decentralized adaptive quantized feedback tracking of a class of uncertain interconnected lower-triangular nonlinear systems
저자
Choi, Y.H.Yoo, S.J.
DOI
10.1016/j.isatra.2020.07.001
발행일
2020-11
유형
Article
저널명
ISA Transactions
106
페이지
74 ~ 84