Distributed optimization of nonlinear singularly perturbed multi-agent systems via a small-gain approach and sliding mode control

Distributed optimization of nonlinear singularly perturbed multi-agent systems via a small-gain approach and sliding mode control

This paper addressed the challenging problem of distributed optimization for nonlinear singular perturbation multi-agent systems. The main focus lies in steering the system outputs toward the optimal points of a globally objective function, which was formed by the combination of several local functi...

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Bibliographic Details
Main Authors: Li, Qian, Jin, Zhenghong, Qiao, Linyan, Du, Aichun, Liu, Gang
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Engineering
Mathematical Sciences
Distributed optimization
Robust stability
Online Access:https://hdl.handle.net/10356/181837
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/181837

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