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Adaptive fuzzy pre allocation performance control for uncertain nonlinear systems within finite time

Year: 2025

Type: article

Abstract: 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

Source: Journal of Control Engineering and Applied Informatics

DOI: 10.61416/ceai.v27i3.9505

Authors: Ju Hai, Li Chenglin, Li Xianbo, Wu Yaochun

Institution: Anyang Institute of Technology

Language: English

Topic: Adaptive Control of Nonlinear Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funder: Education Department of Henan Province

OpenAlex ID: W4414501516

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