This paper studies distributed convex optimization problems over continuous-time
multiagent networks subject to two types of constraints, ie, local feasible set constraints and …

This paper studies distributed algorithms for the nonsmooth extended monotropic
optimization problem, which is a general convex optimization problem with a certain …

We develop an exponentially convergent distributed algorithm to minimize a sum of
nonsmooth cost functions with a set constraint. The set constraint generally leads to the …

This paper focuses on designing distributed algorithms for solving the linear matrix equation
in the form of AXB= F via a double-layered multi-agent network. Firstly, we equivalently …

This article considers the problem of solving linear algebraic equations of the form Ax= b
among multiagents, which seek a solution by using local information in presence of random …

In distributed optimization (DO), the designed algorithms are expected to have a fast
convergence rate but less computation cost. Moreover, the boundedness of the control …

This paper proposes scalable distributed least square algorithms for solving large-scale
linear algebraic equations via multi-agent network. We consider two kinds of different …

This paper develops a distributed approach for inverse optimal control (IOC) in multi-agent
systems. Here each agent can only communicate with certain nearby neighbors and only …

This paper studies the distributed algorithms to obtain a solution of the linear equation A x=
b in finite time (FT) over a multi-agent network. In order to guarantee the settling time without …

This article investigates a class of systems of nonlinear equations (SNEs). Three distributed
neurodynamic models (DNMs), namely a two-layer model (DNM-I) and two single-layer …