Distributed Continuous-Time Nonsmooth Convex Optimization With Coupled Inequality Constraints

This paper studies distributed convex optimization problems over continuous-time multiagent networks subject to two types of constraints, i.e., local feasible set constraints and coupled inequality constraints, where all involved functions are not necessarily differentiable, only assumed to be conve...

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Vydané v:	IEEE transactions on control of network systems Ročník 7; číslo 1; s. 74 - 84
Hlavní autori:	Li, Xiuxian, Xie, Lihua, Hong, Yiguang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.03.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Computational geometry Computer simulation Continuous-time algorithms Control systems Convex analysis Convex functions Convexity coupled inequality constraints distributed convex optimization Eigenvalues and eigenfunctions Heuristic algorithms Liapunov functions Linear programming multiagent networks Multiagent systems Nonlinear programming nonsmooth analysis Optimization
ISSN:	2325-5870, 2372-2533
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