We study distributed optimization to minimize a sum of smooth and strongly-convex
functions. Recent work on this problem uses gradient tracking to achieve linear convergence …

This article considers the practical fixed-time self-triggered consensus tracking problem of
delayed multiagent networks (MANs) subject to external disturbances under undirected …

This article aims to address distributed optimization problems over directed and time-varying
networks, where the global objective function consists of a sum of locally accessible convex …

In this paper, the Bush–Mosteller (BM) reinforcement learning (RL) scheme is introduced to
model the route choice behaviors of the travelers in traffic networks, who aim to seek the …

The purpose of the next internet of things (IoT) is that of making available myriad of services
to people by high sensing intelligent devices capable of reasoning and real time acting. The …

In this paper, a class of optimization problems is investigated, where the objective function is
the sum of N convex functions viewed as local functions and the constraints are N …

In this article, the distributed optimization problem is studied for second-order multiagent
systems with both mismatched and matched disturbances. For this problem, a distributed …

The time-triggered impulsive control of complex homogeneous dynamical networks has
received wide attention due to its occasional occupation of the communication channels …

This paper deals with the privacy-preserving average consensus problem for continuous-
time multi-agent network systems (MANSs) based on the event-triggered strategy. A novel …

This article focuses on the finite-horizon bipartite consensus control problem for a class of
discrete time-varying cooperation–competition multiagent systems (DTV-CCMASs) with the …