Many articles have expounded on and defended the potential advantages of co-robotics
(cobots), robotics, AI, and quantum computers in the domains of research and development …

This paper studies the decentralized stochastic optimization problem over an undirected
network, where each agent owns its local private functions made up of two non-smooth …

This paper proposes a distributed neurodynamic algorithm for sparse signal reconstruction
by addressing ℓ 1-minimization problems. Firstly, a ℓ 1-minimization problem is transformed …

This paper designs continuous-time algorithms with linear convergence for solving
distributed convex optimization problems without a strongly convex condition. The proposed …

Abstract The Snow Ablation Optimizer (SAO) is an advanced optimization algorithm.
However, it suffers from slow convergence and a tendency to become trapped in local …

This article proposes the two-layer asynchronous control scheme for a class of networked
nonlinear jump systems. For the constructed system in a network environment, the data …

The consensus problem of multi-agent systems under switching topologies with both
connected and unconnected communication subgraphs is investigated in this study. To save …

This paper addresses the H∞ load frequency control problem of interconnected power
systems that incorporate high-permeability wind power and face a mixed attack of deception …

This paper investigates distributed online optimization for a group of agents communicating
on undirected networks. The objective is to collaboratively minimize the sum of locally …

This paper concentrates on distributed optimization over networks with communication
delays. Each subsystem in the network performs its local updates by using the information …