Distributed constrained optimization problem of heterogeneous linear multi-agent systems with communication delays

This paper addresses the constrained distributed optimization problem of heterogeneous linear multi-agent systems, where the agents with linear dynamics are subject to local set constraints, global nonlinear inequality constraints and heterogeneous communication delays. Agents collaborate to minimiz...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Systems & control letters Ročník 155; s. 105002
Hlavní autoři: Liu, Pin, Xiao, Feng, Wei, Bo, Wang, Aiping
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.09.2021
Témata:
Communication delays
Distributed optimization problem
Heterogeneous multi-agent systems
Proportional–integral algorithms
Distributed optimization problem
Proportional–integral algorithms
Heterogeneous multi-agent systems
Communication delays
ISSN:0167-6911, 1872-7956
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:This paper addresses the constrained distributed optimization problem of heterogeneous linear multi-agent systems, where the agents with linear dynamics are subject to local set constraints, global nonlinear inequality constraints and heterogeneous communication delays. Agents collaborate to minimize a global objective function by communicating with their neighbors in a graph. Each agent’s decision variable is constrained in a local set. The decision variables of all agents are coupled by global inequality constraints which are modeled by nonlinear functions. To handle the heterogeneous constant communication delays, the scattering transformation between neighbors is employed. We design a new distributed control law to investigate the passivity of systems of individual agents in the presence of constraints and communication delays. Integrating the proposed control law with the scattering transformation, we prove that systems converge to the optimal solution which minimizes the global objective functions. Simulations of heterogeneous linear multi-agent systems are presented to illustrate the effectiveness of the distributed control law.
ISSN:0167-6911
1872-7956
DOI:10.1016/j.sysconle.2021.105002