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 …

This article investigates a distributed optimization problem of double-integrator multiagent
systems with unmatched constant disturbances. Instead of involving an internal model or a …

This article pays close attention to a distributed optimization problem for multiagent systems
subject to exogenous disturbances. A novel distributed model reference adaptive control (D …

In this study, we propose a predefined-time multiagent approach for multiobjective
optimization. Predefined-time optimization is an optimization approach that can converge to …

In this paper, we consider the predefined-time distributed optimization problems of
homogeneous and heterogeneous linear multi-agent systems under undirected and …

In this article, we investigate the distributed cooperative optimization problem for
heterogeneous uncertain high-order nonlinear multi-agent systems with an intermittent …

This article focuses on the secure consensus problem of linear multiagent systems (MASs)
with quantized event-triggered control (ETC) against denial-of-service (DoS) attacks. DoS …

Linear contextual bandit is a popular online learning problem. It has been mostly studied in
centralized learning settings. With the surging demand of large-scale decentralized model …

In this article, we study the event-triggered distributed optimization problem of second-order
nonlinear multiagent systems under undirected and connected communication topologies …

Resource allocation is a typical problem in cyber–physical systems. However, how to
achieve the fast allocation in a distributed way while saving the communication resources is …