Adaptive fuzzy pre allocation performance control for uncertain nonlinear systems within finite time
- Authors
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Ju Hai
Anyang Product Quality Inspection and Testing Center
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Li Chenglin
Anyang Product Quality Inspection and Testing Center
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Li Xianbo
Anyang Product Quality Inspection and Testing Center
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- Abstract
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This paper explores preassigned performance control (PPC) in finite-time for uncertain nonlinear systems under input saturation and unmeasurable states. The key is that a modified finite-time performance function is constructed such that the expected performance indicators can be obtained in finite-time. Simultaneously, the effect of saturation nonlinearity is compensated via utilizing mean-value theorem. By combining fuzzy universal approximator and adaptive parameter estimation technology, a novel PPC algorithm is developed, which realizes that tracking error converges to preassigned range in finite-time. Finally, the viability of developed control algorithm is demonstrated via two examples.
DOI: 10.61416/ceai.v27i3.9505
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- Published
- 2025-09-25
- Issue
- Vol. 27 No. 3 (2025)
- Section
- Articles