Distributed optimization of nonlinear singularly perturbed multi-agent systems via a small-gain approach and sliding mode control
Qian Li,
Zhenghong Jin,
Linyan Qiao
et al.
Abstract: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 functions. To achieve this objective, the singular perturbation multi-agent system was initially decomposed into fast and slow subsystems. Compared to traditional methods, robustness in reference-tracking signals was ensu… Show more
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