Distributed algorithm design for constrained resource allocation problems with high-order multi-agent systems
Z Deng, T Chen - Automatica, 2022 - Elsevier
This paper studies distributed resource allocation problems of multi-agent systems, where
the decisions of agents are subject to inequality network resource constraints and local …
the decisions of agents are subject to inequality network resource constraints and local …
Fully distributed algorithms for constrained nonsmooth optimization problems of general linear multi-agent systems and their application
Z Deng, J Luo - IEEE Transactions on Automatic Control, 2023 - ieeexplore.ieee.org
This article investigates the constrained nonsmooth distributed optimization problems
(DOPs) of general linear multiagent systems. Our problem involves the general linear …
(DOPs) of general linear multiagent systems. Our problem involves the general linear …
Distributed optimization of multi-integrator agent systems with mixed neighbor interactions
Z Chen, X Nian, Q Meng - Automatica, 2023 - Elsevier
In this paper, we consider a constrained distributed optimization problem for multi-integrator
agent systems with mixed neighbor interactions, where the neighbors of the agents can be …
agent systems with mixed neighbor interactions, where the neighbors of the agents can be …
Asymptotical Consensus of MIMO Linear Multiagent Systems With a Nonautonomous Leader and Directed Switching Topology: A Continuous Approach
In this article, we investigate the asymptotical consensus tracking problems for multiple-input-
multiple-output linear multiagent systems with directed switching topology and a …
multiple-output linear multiagent systems with directed switching topology and a …
Distributed strategy for constrained resource allocation problems of autonomous second-order nonlinear agents and its application to smart grids
Z Deng, J Luo, T Chen - Information Sciences, 2024 - Elsevier
This paper studies the constrained distributed resource allocation problems (DRAPs) of
autonomous multi-agent systems (MASs). Unlike well-defined DRAPs, the disturbed second …
autonomous multi-agent systems (MASs). Unlike well-defined DRAPs, the disturbed second …
Multiagent Distributed Source Seeking Under Globally Coupled Constraints: Algorithms and Experiments
The distributed source seeking complication for nonlinear multiagent systems subject to
globally coupled constraints is investigated in this article. By the local optimization function …
globally coupled constraints is investigated in this article. By the local optimization function …
Distributed algorithm for continuous-type Bayesian Nash equilibrium in subnetwork zero-sum games
In this paper, we consider a continuous-type Bayesian Nash equilibrium (BNE) seeking
problem in subnetwork zero-sum games, which is a generalization of either deterministic …
problem in subnetwork zero-sum games, which is a generalization of either deterministic …
Distributed resource allocation algorithm for general linear multiagent systems
B Shao, M Li, X Shi - IEEE Access, 2022 - ieeexplore.ieee.org
We focus on the optimal resource allocation problems with global equality constraints and
local convex function inequality constraints over heterogeneous linear multi-agent systems …
local convex function inequality constraints over heterogeneous linear multi-agent systems …
A distributed extremum seeking based resource allocation algorithm over switching networks
X Cai, X Nan, B Gao - … Journal of Robust and Nonlinear Control, 2023 - Wiley Online Library
In this article, a distributed resource allocation problem for second‐order multi‐agent
systems over undirected switching topologies is investigated. For the distributed resource …
systems over undirected switching topologies is investigated. For the distributed resource …
Optimal resource allocation for high‐order nonlinear uncertain multi‐agent systems
This article investigates the optimal resource allocation of nonlinear high‐order multi‐agent
systems with coupling uncertainties. The objective is to design an output‐feedback …
systems with coupling uncertainties. The objective is to design an output‐feedback …