Command filter-based adaptive finite-time prescribed performance control for uncertain nonlinear systems with fuzzy dead-zone input

This paper is concerned with the problem of adaptive finite-time prescribed performance control for a category of uncertain nonlinear systems subject to fuzzy dead-zone input. Via combining the technologies of command filter and backstepping control, the "singularity" and the "explosi...

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Bibliographic Details
Published in2021 International Conference on Security, Pattern Analysis, and Cybernetics（SPAC pp. 555 - 560
Main Authors Yang, Wen, Xue, Hong, Hu, Shenglin, Liang, Hongjing
Format Conference Proceeding
LanguageEnglish
Published IEEE 18.06.2021
Subjects
Adaptive filters
Adaptive finite-time control
Adaptive systems
command filter
Filtering theory
fuzzy dead-zone input
Observers
prescribed performance
Simulation
Stability criteria
Trajectory
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DOI10.1109/SPAC53836.2021.9539965

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Summary:This paper is concerned with the problem of adaptive finite-time prescribed performance control for a category of uncertain nonlinear systems subject to fuzzy dead-zone input. Via combining the technologies of command filter and backstepping control, the "singularity" and the "explosion of complexity" issues within controller design procedure are avoided. Moreover, by designing a state observer and utilizing the center-of-gravity theorem, the unmeasured states of system are estimated and the fuzzy issue result from fuzzy dead-zone input is disposed, respectively. Meanwhile, a finite-time fuzzy controller is constructed via combining with finite-time stability criterion, which guarantees all the signals in closed-loop system are convergent and the trajectory of tracking error also strictly evolves within a predefined range in finite time. At last, some simulation results confirm the viability of presented theoretical results.
DOI:10.1109/SPAC53836.2021.9539965