This paper provides an overview of the research conducted in the context of structural (or
structured) systems. These are parametrized models used to assess and design system …

This paper is concerned with the privacy-preserving distributed economic dispatch problem
(ED) of microgrids. A homomorphically encrypted consensus algorithm is developed in the …

Average consensus underpins key functionalities of distributed systems ranging from
distributed information fusion, decision-making, distributed optimization, to load balancing …

Consensus is fundamental for distributed systems since it underpins key functionalities of
such systems ranging from distributed information fusion, decision making, to decentralized …

This article reviews significant advances in networked signal and information processing
(SIP), which have enabled in the last 25 years extending decision making and inference …

Privacy preservation is addressed for decentralized optimization, where N agents
cooperatively minimize the sum of N convex functions private to these individual agents. In …

The economic dispatch problem (EDP) plays a fundamental and significant role in smart
grids. Its purpose is to decide the output power of every generator in smart grids for …

Decentralized optimization is crucial for the design, deployment, and functionality of many
distributed systems. In this paper, we address the problem of privacy-preservation in …

In multiagent dynamical systems, privacy protection corresponds to avoid disclosing the
initial states of the agents while accomplishing a distributed task. The system-theoretic …

In this paper, we consider the privacy preservation problem in continuous-time average
consensus algorithms with strongly connected and balanced graphs, against either internal …