Finite-Time Fuzzy Preassigned-Performance Control for Nonlinear Systems Subject to Asymmetric State-Constraints Based on Command Filter
This article presents a novel command-filter-based finite-time fuzzy preassigned performance adaptive control approach for nonlinear systems with exogenous disturbances and asymmetric time-varying constraints. Combining the asymmetric barrier Lyapunov function (ABLF) with preassigned performance con...
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Published in | IEEE transactions on systems, man, and cybernetics. Systems Vol. 54; no. 11; pp. 6733 - 6742 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.11.2024
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Subjects | |
Online Access | Get full text |
ISSN | 2168-2216 2168-2232 |
DOI | 10.1109/TSMC.2024.3428533 |
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Summary: | This article presents a novel command-filter-based finite-time fuzzy preassigned performance adaptive control approach for nonlinear systems with exogenous disturbances and asymmetric time-varying constraints. Combining the asymmetric barrier Lyapunov function (ABLF) with preassigned performance control (PPC), it is ensured that the state <inline-formula> <tex-math notation="LaTeX">x_{1} </tex-math></inline-formula> satisfies the required asymmetric time-varying state constraints (ATSCs), and the system output y can track the desired signal with achieving preassigned performance indices (PPIs). The command-filter-based control design not only circumvents the computing complexity in the backstepping but also reduces the conservativeness of the assumption regarding the desired signal and the time-varying asymmetric constraints. Additionally, the nonlinear disturbance observer method (NDOM) is employed to effectively estimate unknown exogenous disturbances and enhance the robustness of the closed-loop system. Through rigorous theoretical analysis, the proposed finite-time command filter-based control method effectively ensures that all variables are bounded within a finite time. The practicality and feasibility of the proposed approach are further validated by simulation results. |
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ISSN: | 2168-2216 2168-2232 |
DOI: | 10.1109/TSMC.2024.3428533 |