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Neuroadaptive consensus control with prescribed performance for nonlinear multi-agent systems with input delay and input quantization

delete2026-01-22
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PRE
AI
B
Baiqi Qiu
N
null Zhi *
L
Licheng Zheng
C
C.L. Philip Chen
DOI:10.1016/j.neucom.2026.132813delete
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Abstract

Abstract

En 中文
• Hybrid strategy solving input delay and quantization issues. • Prescribed performance with user-defined convergence time/accuracy. • Neural observer for state estimation from quantized inputs. • A first-order filter avoids complexity explosion and reduces communication load.

Journal

Neurocomputing cover
Neurocomputing
IF:
6.5
Papers:
2.5W
Citations:
6.5W

Organization

G
Guangdong University of Technology
Scholars:
2.0K
Papers: 758
Citations: 3.1W
S
south china university of technology
Scholars:
6.8W
Papers: 5.1W
Citations: 85
G
guangdong university of technology
Scholars:
3.0W
Papers: 2.0W
Citations: 36
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