Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Deming Yuan"'
Autor:
Deming Yuan
Publikováno v:
Abstract and Applied Analysis, Vol 2014 (2014)
This paper considers the constrained multiagent optimization problem. The objective function of the problem is a sum of convex functions, each of which is known by a specific agent only. For solving this problem, we propose an asynchronous distribute
Externí odkaz:
https://doaj.org/article/f02e8f6c122d4515afe3131f19d44069
Publikováno v:
Journal of the Franklin Institute. 360:2931-2954
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. :1-11
Publikováno v:
Neurocomputing. 497:204-215
Publikováno v:
Control Theory and Technology.
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
This article is concerned with the distributed convex constrained optimization over a time-varying multiagent network in the non-Euclidean sense, where the bandwidth limitation of the network is considered. To save the network resources so as to redu
Publikováno v:
IEEE Transactions on Cybernetics. :1-13
This article studies the distributed online stochastic convex optimization problem with the time-varying constraint over a multiagent system constructed by various agents. The sequences of cost functions and constraint functions, both of which have d
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 68:4520-4533
This paper aims to investigate the event-based extended dissipative state estimation problem for memristor-based Markovian neural networks in the presence of hybrid time-varying delays and sensor nonlinearity. To tackle the effect caused by informati
Publikováno v:
Journal of the Franklin Institute. 358:7254-7269
In this paper, we address the distributed convex optimization problems for multi-agent systems. In our research, it is assumed that each agent in the multi-agent system could merely interact with its neighbors via a directed graph and is available to
Publikováno v:
2022 China Automation Congress (CAC).