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Uncertain multiagent systems with distributed constrained optimization missions and event-triggered communications: application to resource allocation

Sarafraz, M. S ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1109/JSYST.2022.3181937
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2022
  4. Abstract:
  5. This article deals with solving distributed optimization problems with equality constraints by a class of uncertain nonlinear heterogeneous dynamic multiagent systems. It is assumed that each agent with an uncertain dynamic model has limited information about the main problem and limited access to the information of the state variables of the other agents. A distributed algorithm that guarantees cooperatively solving of the constrained optimization problem by the agents is proposed. Via applying this algorithm, the agents do not need to continuously broadcast their data. It is shown that the proposed algorithm can be useful in solving resource allocation problems. IEEE
  6. Keywords:
  7. Costs ; Multi-agent systems ; Optimization ; Uncertain multiagent systems ; Constrained optimization ; Distributed computer systems ; Dynamical systems ; Heuristic algorithms ; Linear programming ; Multi agent systems ; Nonlinear dynamical systems ; Robust control ; Software agents ; Uncertainty analysis ; Communication application ; Distributed constrained optimisation ; Distributed optimization ; Event-triggered ; Event-triggered communication ; Heuristics algorithm ; Linear-programming ; Optimisations ; Resources allocation ; Uncertain multiagent system ; Resource allocation
  8. Source: IEEE Systems Journal ; 2022 , Pages 1-12 ; 19328184 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/9805663