Output feedback finite-time stabilization of a class of large-scale high-order nonlinear stochastic feedforward systems Article Swipe

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Xinghui Zhang , Enyong Liu , Jianlong Qiu , Ancai Zhang , Zhi Liu ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.3934/dcdss.2023008

This paper considers the output feedback finite-time stabilization in probability for a class of large-scale high-order stochastic nonlinear feedforward systems. The output feedback finite-time stabilized controller in probability is firstly designed for the nominal systems by the adding one power integrator. Then with the homogeneous domination method, by introducing an appropriate coordination, an equivalent system of the original system with tunable gain is obtained. After that, by constructing a observer and determining the tunable gains, the output feedback stabilized controller in probability of the original systems is finally given and analysed.

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Feed Forward (Control)

Artificial Intelligence

Biology

Quantum Mechanics

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Feed forward Control theory (sociology) Integrator Nonlinear system Observer (physics) Output feedback Controller (irrigation) Computer science Mathematics Control (management) Control engineering Engineering Bandwidth (computing) Physics Agronomy Artificial intelligence Computer network Biology Quantum mechanics

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Type: article
Language: en
Landing Page: https://doi.org/10.3934/dcdss.2023008
PDF: https://www.aimsciences.org/data/article/export-pdf?id=63c68b78b5351f4889afec55
OA Status: diamond
Cited By: 10
References: 38
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DOI: https://doi.org/10.3934/dcdss.2023008

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Title: Output feedback finite-time stabilization of a class of large-scale high-order nonlinear stochastic feedforward systems

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Language: en

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Publication year: 2023

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Publication date: 2023-01-01

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Authors: Xinghui Zhang, Enyong Liu, Jianlong Qiu, Ancai Zhang, Zhi Liu

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Landing page: https://doi.org/10.3934/dcdss.2023008

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Concepts: Feed forward, Control theory (sociology), Integrator, Nonlinear system, Observer (physics), Output feedback, Controller (irrigation), Computer science, Mathematics, Control (management), Control engineering, Engineering, Bandwidth (computing), Physics, Agronomy, Artificial intelligence, Computer network, Biology, Quantum mechanics

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Cited by: 10

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Citations by year (recent): 2025: 2, 2024: 7, 2023: 1

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Related works (count): 10

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