Output-Constrained Control of Nonlinear Systems with Time-Varying Power

Abstract Since many practical systems can be modeled as nonlinear systems with time-varying powers, its control problem is a new issue in control theory research. In this paper the output-constrained control problem for a class of nonlinear systems with time-varying power is studied. Firstly, due to the constraint on system output, we construct not a quadratic Lyapunov function, but a log -type barrier Lyapunov function (BLF). Secondly, by skillfully combining the adding a power integrator technique with the log -type BLF, we can develop an output-constrained controller to ensure the boundedness of closed-loop system signals and the convergence of system states. Finally, by a simulation verify the effectiveness of the controller.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-05-01
DOI
https://doi.org/10.1088/1742-6596/3004/1/012091
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Output-Constrained Control of Nonlinear Systems with Time-Varying Power

Zunjie Yu, Yang Yang, Chao Guo
Journal of Physics Conference Series
Adaptive Control of Nonlinear Systems
article

Output-Constrained Control of Nonlinear Systems with Time-Varying Power

Zunjie Yu, Yang Yang, Chao Guo
article en

Abstract

Abstract Since many practical systems can be modeled as nonlinear systems with time-varying powers, its control problem is a new issue in control theory research. In this paper the output-constrained control problem for a class of nonlinear systems with time-varying power is studied. Firstly, due to the constraint on system output, we construct not a quadratic Lyapunov function, but a log -type barrier Lyapunov function (BLF). Secondly, by skillfully combining the adding a power integrator technique with the log -type BLF, we can develop an output-constrained controller to ensure the boundedness of closed-loop system signals and the convergence of system states. Finally, by a simulation verify the effectiveness of the controller.

Journal of Physics Conference SeriesVol. 3004(1)
Dezhou University (CN)
National Natural Science Foundation of China, Dezhou University
Openalex Percentile: Top 90%
Adaptive Control of Nonlinear Systems
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