Abstract: This paper investigates the fully distributed optimization control problem for high-order nonlinear multi-agent systems (MASs) with unknown nonlinearities. Initially, a fully distributed ...

Distributed optimisation and algorithms form a vibrant field that addresses the challenge of coordinating multiple agents or nodes to collectively solve global optimisation problems. This domain ...

Abstract: This article proposes a game-based distributed decision optimization method for heterogeneous multiagent systems with unknown nonlinear dynamics. Due to the information exchange between ...

Distributed Constraint Optimisation and Search Algorithms form a vital framework for addressing complex decision‐making and scheduling problems in multi-agent systems. These algorithms distribute ...

The optimization of an in-building distributed antenna system (DAS) has traditionally been a function of coverage, for efficient signal propagation and capacity, to achieve maximum throughput. A third ...

$$ \min_{x \in \mathbb{R}^d} \quad \frac{1}{n} \sum_{i=1}^n f_i(x) + g(x), $$ where each $f_i: \mathbb{R}^d \rightarrow \mathbb{R}$ is a smooth loss function ...

Distributed optimization algorithms have revolutionized the decision-making process in distribution network management. Unlike their centralized counterparts, the effectiveness of distributed ...

In recent years, the paradigm of cloud computing has emerged as an architecture for computing that makes use of distributed (networked) computing resources. In this paper, we consider a distributed ...

One course in optimization (including primal, dual problems, Lagrangian functions), linear algebra, calculus, familiar with real analysis or permission of instructor. Large-scale networks and datasets ...