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,...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on automatic control Ročník 70; číslo 6; s. 3968 - 3983
Hlavní autori:	Behrendt, Gabriel, Longmire, Matthew, Bell, Zachary I., Hale, Matthew
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!