Distributed Event-triggered Control of Networked Strict-feedback Systems Via Intermittent State Feedback Article Swipe

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Libei Sun , Xiucai Huang , Yongduan Song ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2208.02415

It poses technical difficulty to achieve stable tracking even for single mismatched nonlinear strict-feedback systems when intermittent state feedback is utilized. The underlying problem becomes even more complicated if such systems are networked with directed communication and state-triggering setting. In this work, we present a fully distributed neuroadaptive tracking control scheme for multiple agent systems in strict-feedback form using triggered state from the agent itself and the triggered states from the neighbor agents. To circumvent the non-differentiability of virtual controllers stemming from state-triggering, we first develop a distributed continuous control scheme under regular state feedback, upon which we construct the distributed event-triggered control scheme by replacing the states in the preceding scheme with the triggered ones. Several useful lemmas are introduced to allow the stability condition to be established with such replacement, ensuring that all the closed-loop signals are semi-globally uniformly ultimately bounded (SGUUB), with the output tracking error converging to a residual set around zero. Besides, with proper choices of the design parameters, the tracking performance in the mean square sense can be improved. Numerical simulation verifies the benefits and efficiency of the proposed method.

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Control theory (sociology) Computer science Bounded function Differentiable function State (computer science) Tracking error Tracking (education) Stability (learning theory) Scheme (mathematics) Control (management) Residual Mathematics Algorithm Artificial intelligence Psychology Machine learning Mathematical analysis Pedagogy

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2208.02415
PDF: https://arxiv.org/pdf/2208.02415
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Cited By: 1
Related Works: 10
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DOI: https://doi.org/10.48550/arxiv.2208.02415

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Title: Distributed Event-triggered Control of Networked Strict-feedback Systems Via Intermittent State Feedback

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Language: en

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Publication year: 2022

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Publication date: 2022-08-04

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Authors: Libei Sun, Xiucai Huang, Yongduan Song

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Landing page: https://arxiv.org/abs/2208.02415

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Concepts: Control theory (sociology), Computer science, Bounded function, Differentiable function, State (computer science), Tracking error, Tracking (education), Stability (learning theory), Scheme (mathematics), Control (management), Residual, Mathematics, Algorithm, Artificial intelligence, Psychology, Machine learning, Mathematical analysis, Pedagogy

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Cited by: 1

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