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Asymptotic convergence of constrained primal–dual dynamics

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Cherukuri, Ashish, Mallada, Enrique, Cortés, Jorge·2016·Systems & Control Letters

Abstract

This paper studies the asymptotic convergence properties of the primal-dual dynamics designed for solving constrained concave optimization problems using classical notions from stability analysis. We motivate the need for this study by providing an example that rules out the possibility of employing the invariance principle for hybrid automata to study asymptotic convergence. We understand the solutions of the primal-dual dynamics in the Caratheodory sense and characterize their existence, uniqueness, and continuity with respect to the initial condition. We use the invariance principle for discontinuous Caratheodory systems to establish that the primal-dual optimizers are globally asymptotically stable under the primal-dual dynamics and that each solution of the dynamics converges to an optimizer.

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Metadata

Authors
Cherukuri, A., Mallada, E., & Cortés, J.
Venue
Systems & Control Letters
Publisher
Elsevier BV
Published
2016-01
Volume
87
Pages
10-15
ISSN
0167-6911 (ISSN-L)
OpenAlex
W2122356478
Cited by
189
References
0
FWCI
17.63
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Asymptotic convergence of constrained primal–dual dynamics. https://app.cochat.ai/papers/10.1016/j.sysconle.2015.10.006
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Cherukuri, A., Mallada, E., & Cortés, J. (2016). Asymptotic convergence of constrained primal–dual dynamics. Systems & Control Letters. https://doi.org/10.1016/j.sysconle.2015.10.006

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.