This paper shows how one can often convert a given f -consensus problem into a suitable distributed convex optimization (DCO) problem, which can be readily ...
This paper shows how one can often convert a given f-consensus problem into a suitable distributed convex optimization (DCO) problem, which can be readily ...
Jul 20, 2024 · This paper is concerned with a distributed optimization problem with inequality constraint over a multiagent network. The objective function is ...
Distributed convex optimization as a tool for solving f-consensus ...
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On f-Consensus Problems Solvable via Distributed Convex Optimization Methods · Mode Consensus Algorithms With Finite Convergence Time.
This paper shows how one can often convert a given ƒ-consensus problem into a suitable distributed convex optimization (DCO) problem, which can be readily ...
The paper utilizes distributed convex optimization as a tool to solve a series of f-consensus problems including network size estimation, k-th smallest value ...
The paper utilizes distributed convex optimization as a tool to solve a series of f-consensus problems including network size estimation, k-th smallest value.
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Jul 23, 2024 · The developed DDC-Consensus algorithm allows for non-symmetric directed graph topologies and can be synthesized distributively. We establish ...
Missing: f- | Show results with:f-
On f-Consensus Problems Solvable via Distributed Convex ... - CoLab
colab.ws › ccc63176.2024.10662494
The paper addresses large-scale, convex optimization problems that need to be solved in a distributed way by agents communicating according to a random time- ...
Sep 20, 2024 · Convex optimization represents instead a sustainable approach when real-time applications are considered due to the limited resources required ...