Distributed Asynchronous Discrete-Time Feedback Optimization

In this article, we present an algorithm that drives the outputs of a network of agents to jointly track the solution of a time-varying, strongly convex optimization problem. This algorithm is robust to asynchrony in the agents' operations, namely, first, computations of control inputs, second,...

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Veröffentlicht in:	IEEE transactions on automatic control Jg. 70; H. 6; S. 3968 - 3983
Hauptverfasser:	Behrendt, Gabriel, Longmire, Matthew, Bell, Zachary I., Hale, Matthew
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Asymptotic properties Asynchronous optimization algorithms Computational modeling Convexity Current measurement Feedback Heuristic algorithms Load flow Machine learning algorithms multiagent systems Optimization Perturbation methods Robot sensing systems time-varying optimization Time-varying systems Vectors
ISSN:	0018-9286, 1558-2523
Online-Zugang:	Volltext
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