Almost all systems are inevitably subject to various uncertainties or disturbances from the
external environment in practical applications. Taking these factors into consideration, in this …

In the operation planning of heating, ventilation, and air conditioning systems, optimal chiller
loading assigns cooling loads to chillers with minimized power consumption. In this article, a …

In this article, we present a collaborative neurodynamic optimization approach to distributed
chiller loading in the presence of nonconvex power consumption functions and binary …

In this article, we study the problem of consensus-based distributed optimization, where a
network of agents, abstracted as a directed graph, aims to minimize the sum of all agents' …

In this paper, we present an adaptive multi-agent system with duplex control laws for non-
smooth resource allocation problem, where the decisions are subjected to local constraints …

A high-dimensional and incomplete (HDI) matrix is a common form of big data in most
industrial applications. Stochastic gradient descent (SGD) algorithm optimized latent factor …

The convergence rate and applicability to directed graphs with interaction topologies are two
important features for practical applications of distributed optimization algorithms. In this …

This article studies the distributed constrained optimization problems for the discrete-time
second-order multiagent systems (MASs), in which each agent privately owns local cost …

This paper investigates the distributed prescribed-time optimization for time-varying
objective functions. As opposed to the state-of-the-art in this field, our protocol is developed …

In this work, the constrained optimization problem is studied, where the global objective
function is the sum of N convex functions and a closed convex set constraint is involved. The …