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Output feedback exponential stabilization for 1-D unstable wave equations with boundary control matched disturbance

Optimization and Control · Submitted 7 Jun 2017

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The closed-loop system is shown to be exponentially stable while guaranteeing that all the internal signals are uniformly bounded.

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arXiv ID1706.02161 (version 1)
Pith IDSLXIPCHJ, Pith's permanent record of this paper and its review
CitationGeorge Weiss, Hua-Cheng Zhou. "Output feedback exponential stabilization for 1-D unstable wave equations with boundary control matched disturbance." arXiv:1706.02161 (2017). https://pith.science/paper/SLXIPCHJ
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What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.30 · human participants 0.01 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.19 · compares with prior results 0.07 · mentions code or data availability 0.02.

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We study the output feedback exponential stabilization of a one-dimensional unstable wave equation, where the boundary input, given by the Neumann trace at one end of the domain, is the sum of the control input and the total disturbance. The latter is composed of a nonlinear uncertain feedback term and an external bounded disturbance. Using the two boundary displacements as output signals, we design a disturbance estimator that does not use high gain. It is shown that the disturbance estimator can estimate the total disturbance in the sense that the estimation error signal is in $L^2[0,\infty)$. Using the estimated total disturbance, we design an observer whose state is exponentially convergent to the state of original system. Finally, we design an observer-based output feedback stabilizing controller. The total disturbance is approximately canceled in the feedback loop by its estimate. The closed-loop system is shown to be exponentially stable while guaranteeing that all the internal signals are uniformly bounded.

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What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We study the output feedback exponential stabilization of a one-dimensional unstable wave equation, where the boundary input, given by the Neumann trace at one end of the domain, is the sum of the control input and the total disturbance. contribution 0.55 0.50 0.04 asserted 0.95
s1 The latter is composed of a nonlinear uncertain feedback term and an external bounded disturbance. background 0.95 0.31 0.02 asserted 1.00
s2 Using the two boundary displacements as output signals, we design a disturbance estimator that does not use high gain. method 0.87 0.94 0.03 asserted 0.99
s3 It is shown that the disturbance estimator can estimate the total disturbance in the sense that the estimation error signal is in $L^2[0,\infty)$. result 0.99 0.93 0.09 asserted 1.00
s4 Using the estimated total disturbance, we design an observer whose state is exponentially convergent to the state of original system. method 0.85 0.92 0.06 asserted 1.00
s5 Finally, we design an observer-based output feedback stabilizing controller. method 0.73 0.94 0.07 asserted 0.97
s6 The total disturbance is approximately canceled in the feedback loop by its estimate. method 0.53 0.85 0.13 asserted 0.90
s7 The closed-loop system is shown to be exponentially stable while guaranteeing that all the internal signals are uniformly bounded. result 1.00 0.94 0.78 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 0.56 · evidence from proof or derivation 1.00.

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Original abstract

We study the output feedback exponential stabilization of a one-dimensional unstable wave equation, where the boundary input, given by the Neumann trace at one end of the domain, is the sum of the control input and the total disturbance. The latter is composed of a nonlinear uncertain feedback term and an external bounded disturbance. Using the two boundary displacements as output signals, we design a disturbance estimator that does not use high gain. It is shown that the disturbance estimator can estimate the total disturbance in the sense that the estimation error signal is in $L^2[0,\infty)$. Using the estimated total disturbance, we design an observer whose state is exponentially convergent to the state of original system. Finally, we design an observer-based output feedback stabilizing controller. The total disturbance is approximately canceled in the feedback loop by its estimate. The closed-loop system is shown to be exponentially stable while guaranteeing that all the internal signals are uniformly bounded.

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