A survey of distributed optimization
In distributed optimization of multi-agent systems, agents cooperate to minimize a global
function which is a sum of local objective functions. Motivated by applications including …
function which is a sum of local objective functions. Motivated by applications including …
Distributed control and communication strategies in networked microgrids
Q Zhou, M Shahidehpour, A Paaso… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Networked microgrids (NMGs) provide a promising solution for accommodating various
distributed energy resources (DERs) and enhancing the system performance in terms of …
distributed energy resources (DERs) and enhancing the system performance in terms of …
Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems
In this paper, the distributed resource allocation optimization problem is investigated. The
allocation decisions are made to minimize the sum of all the agents' local objective functions …
allocation decisions are made to minimize the sum of all the agents' local objective functions …
Distributed continuous-time optimization: nonuniform gradient gains, finite-time convergence, and convex constraint set
In this paper, a distributed optimization problem with general differentiable convex objective
functions is studied for continuous-time multi-agent systems with single-integrator dynamics …
functions is studied for continuous-time multi-agent systems with single-integrator dynamics …
A multi-agent system with a proportional-integral protocol for distributed constrained optimization
This technical note presents a continuous-time multi-agent system for distributed
optimization with an additive objective function composed of individual objective functions …
optimization with an additive objective function composed of individual objective functions …
Distributed optimization for multiagent systems: An edge-based fixed-time consensus approach
This paper deals with the problem of distributed optimization for multiagent systems by using
an edge-based fixed-time consensus approach. In the case of time-invariant cost functions …
an edge-based fixed-time consensus approach. In the case of time-invariant cost functions …
Neural networks-based distributed adaptive control of nonlinear multiagent systems
Q Shen, P Shi, J Zhu, S Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The cooperative control problem of nonlinear multiagent systems is studied in this paper.
The followers in the communication network are subject to unmodeled dynamics. A fully …
The followers in the communication network are subject to unmodeled dynamics. A fully …
Distributed optimal consensus over resource allocation network and its application to dynamical economic dispatch
The resource allocation problem is studied and reformulated by a distributed interior point
method via a θ-logarithmic barrier. By the facilitation of the graph Laplacian, a fully …
method via a θ-logarithmic barrier. By the facilitation of the graph Laplacian, a fully …
Optimal tracking control of nonlinear multiagent systems using internal reinforce Q-learning
In this article, a novel reinforcement learning (RL) method is developed to solve the optimal
tracking control problem of unknown nonlinear multiagent systems (MASs). Different from …
tracking control problem of unknown nonlinear multiagent systems (MASs). Different from …
Distributed continuous-time algorithm for constrained convex optimizations via nonsmooth analysis approach
This technical note studies the distributed optimization problem of a sum of nonsmooth
convex cost functions with local constraints. At first, we propose a novel distributed …
convex cost functions with local constraints. At first, we propose a novel distributed …