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 paper presents a collective neurodynamic approach with multiple interconnected
recurrent neural networks (RNNs) for distributed constrained optimization. The objective …

The presence of embedded electronics and communication capabilities as well as sensing
and control in smart devices has given rise to the novel concept of cyber-physical networks …

Robust optimization is a young and emerging field of research having received a
considerable increase of interest over the last decade. In this paper, we argue that the …

This paper presents the mathematical formulation and architecture of a robust energy
management system for isolated microgrids featuring renewable energy, energy storage …

With the wide application of distributed energy technology in active distribution networks
(ADNs), virtual power plants (VPPs) are introduced as a promising integration and …

We provide a unifying framework for distributed convex optimization over time-varying
networks, in the presence of constraints and uncertainty, features that are typically treated …

Two asynchronous distributed algorithms are presented for solving a linear equation of the
form Ax= b with at least one solution. The equation is simultaneously and asynchronously …

In this paper, we consider a general challenging distributed optimization setup arising in
several important network control applications. Agents of a network want to minimize the …

Dual decomposition has been successfully employed in a variety of distributed convex
optimization problems solved by a network of computing and communicating nodes. Often …