A continuous-time neurodynamic algorithm for distributed nonconvex nonsmooth optimization problems with affine equality and nonsmooth convex inequality constraints

In this paper, a distributed nonsmooth nonconvex optimization (DNNO) problem with affine inequality and nonsmooth convex inequality constraints is studied. A continuous-time distributed neurodynamic algorithm is proposed to solve this problem. Under the assumed conditions, for any initial state, the...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 507; S. 383 - 396
Hauptverfasser:	Yang, Jianyu, He, Xing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2022
Schlagworte:	Continuous-time neurodynamic algorithm Distributed nonsmooth nonconvex optimization Finite-time convergence Distributed nonsmooth nonconvex optimization Continuous-time neurodynamic algorithm Finite-time convergence
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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