A new robust continuous-time optimization algorithm for distributed problems is presented
which guarantees fixed-time convergence. The algorithm is based on a Lyapunov function …

This article investigates the synchronization problem of multiple memristive neural networks
(MMNNs) in the case of switching communication topologies and parameter mismatch. First …

In this article, we concentrate on distributed online convex optimization problems over
multiagent systems, where the communication between nodes is represented by a class of …

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 …

In this article, a distributed time‐varying optimization problem for multirobot systems with
collision avoidance is studied. A hierarchical control framework is employed to simplify the …

We investigate multiagent distributed online constrained convex optimization problems with
feedback delays, where agents make sequential decisions before being aware of the cost …

Decentralized optimization methods often entail information exchange between neighbors.
In many circumstances, due to the limited communication bandwidth, the exchanged …

This paper is devoted to the adaptive state-feedback tracking control for stochastic nonlinear
systems disturbed by unknown covariance noise under the condition of full-state constraints …

In this article, we consider a class of decentralized resource allocation problems over
directed networks, where each node only communicates with its in-neighbors and attempts …

A novel computation-efficient quantized distributed optimization algorithm is presented in
this article for solving a class of convex optimization problems over time-varying undirected …