Finite-Time Control for Multiple Time-Delayed Fuzzy Large-Scale Systems Against State and Input Constraints
In this article, finite-time control is investigated for multiple time-delayed large-scale nonlinear systems against state and input constraints. There are multiple time-varying delays, intermittent actuator faults, and intermittent sensor faults in this model. Takagi-Sugeno fuzzy model is used to d...
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Veröffentlicht in: | IEEE transactions on fuzzy systems 2022-12, Vol.30 (12), p.5390-5404 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In this article, finite-time control is investigated for multiple time-delayed large-scale nonlinear systems against state and input constraints. There are multiple time-varying delays, intermittent actuator faults, and intermittent sensor faults in this model. Takagi-Sugeno fuzzy model is used to describe the nonlinear system. There are few tries to studying finite-time control for large-scale nonlinear systems. First, a dynamic output feedback controller is designed in this article to make the system finite-time bounded. Then, an augmented closed-loop model is constructed. Sufficient conditions of finite-time control are given by the fuzzy Lyapunov function. Finally, the feasibility of the approach is verified by two simulation examples. |
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ISSN: | 1063-6706 1941-0034 |
DOI: | 10.1109/TFUZZ.2022.3176933 |