Zobrazeno 1 - 10
of 181
pro vyhledávání: '"Wang, Jianzheng"'
This paper studies a distributed estimation problem for time-varying/time-invariant large-scale interconnected systems (LISs). A fully distributed estimator is presented by recursively solving a distributed modified Riccati equation (DMRE) with decou
Externí odkaz:
http://arxiv.org/abs/2411.06380
In this paper, an anti-eavesdropping estimation problem is investigated. A linear encryption scheme is utilized, which first linearly transforms innovation via an encryption matrix and then encrypts some components of the transformed innovation. To r
Externí odkaz:
http://arxiv.org/abs/2406.10677
Autor:
Wang, Jianzheng, Hu, Guoqiang
In this work, we consider solving a distributed optimization problem (DOP) in a multi-agent network with multiple agent clusters. In each cluster, the agents manage separable cost functions composed of possibly non-smooth components and aim to achiev
Externí odkaz:
http://arxiv.org/abs/2208.11485
Autor:
Wang, Jianzheng, Hu, Guoqiang
In this work, we consider solving a distributed optimization problem in a multi-agent network with multiple clusters. In each cluster, the involved agents cooperatively optimize a separable composite function with a common decision variable. Meanwhil
Externí odkaz:
http://arxiv.org/abs/2203.00956
Autor:
Wang, Jianzheng, Liu, Chunying, Di, Ziao, Huang, Jiayu, Wei, Hongjun, Guo, Minjie, Yu, Xiaoliang, Li, Nan, Zhao, Jin, Cheng, Bowen
Publikováno v:
In Chemosphere November 2024 367
Autor:
Wang, Jianzheng, Hu, Guoqiang
In this paper, we aim to solve a distributed optimization problem with affine coupling constraints in a multi-agent network, where the cost function of the agents is composed of smooth and possibly non-smooth parts. To solve this problem, we resort t
Externí odkaz:
http://arxiv.org/abs/2108.10652
Autor:
Wang, Jianzheng, Hu, Guoqiang
In this paper, we consider a future electricity market consisting of aggregated energy prosumers, who are equipped with local wind power plants (WPPs) to support (part of) their energy demands and can also trade energy with day-ahead market (DAM) and
Externí odkaz:
http://arxiv.org/abs/2105.14286
In the electricity market, it is quite common that the market participants make "selfish" strategies to harvest the maximum profits for themselves, which may cause the social benefit loss and impair the sustainability of the society in the long term.
Externí odkaz:
http://arxiv.org/abs/2103.01452
Autor:
Wang, Jianzheng, Hu, Guoqiang
In this paper, we consider a composite optimization problem with linear coupling constraints in a multi-agent network. In this problem, all the agents jointly optimize a global composite cost function which is the linear sum of individual cost functi
Externí odkaz:
http://arxiv.org/abs/2102.12816
Autor:
Wang, Jianzheng, Hu, Guoqiang
In this paper, we consider solving a composite optimization problem with coupling constraints in a multi-agent network based on proximal gradient method. In this problem, all the agents jointly minimize the sum of individual cost functions composed o
Externí odkaz:
http://arxiv.org/abs/2102.12797