The approximation of the T–S fuzzy model for a class of nonlinear singular systems with impulses

被引:0
作者
Zhenghong Jin
Qingling Zhang
Junchao Ren
机构
[1] Northeastern University,Institute of System Science and State Key Laboratory of Synthetical Automation for Process Industries
[2] Northeastern University,Institute of System Science
来源
Neural Computing and Applications | 2020年 / 32卷
关键词
–; fuzzy singular systems; Impulses; Approximation; Singularity-induced bifurcations;
D O I
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中图分类号
学科分类号
摘要
The present paper solves the approximation problem of T–S fuzzy linear singular system for a class of nonlinear singular system with impulses. Consider a special nonlinear singular bio-economic system with impulses; the T–S fuzzy linear singular system of the nonlinear singular system has been calculated. The relationship between the impulse of the singular system and the singular induced bifurcation is proved for the first time. For this particular case, it is extended to more generally nonlinear singular system. For a class of nonlinear singular system that is bounded impulse-free item and separable impulse item with singularity-induced bifurcation, we proved that it can be approximated by T–S fuzzy singular system with arbitrary accuracy. Finally, a numerical simulation is carried out to show the consistency with theoretical analysis and illustrate the effectiveness of approximation.
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页码:10387 / 10401
页数:14
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