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 …

Discrete-time consensus plays a key role in multi-agent systems and distributed protocols.
Unfortunately, due to the self-loop dynamics of the agents (an agent's current state depends …

This paper addresses the design problem of a resilient consensus algorithm for agents with
continuous-time dynamics. The main proposal is that by incorporating a switching …

This paper investigates the problem of resilient distributed state estimation for a linear
system in multi-hop communication networks. First, we introduce a graph-theoretic property …

There can be none. In this paper, we address the problem of a set of discrete-time
networked agents reaching average consensus privately and resiliently in the presence of a …

Large-scale dynamical systems are becoming pervasive today and the costs associated with
maintenance and processing should be kept to the minimum. In multi-agent systems …

This article focuses on event-triggered scaled consensus for stochastic multi-agent systems
(SMASs) in the presence of multiplicative and additive noises in a Markovian switched …

In this paper, we study the Robust Minimal Controllability and Observability Problem
(rMCOP). The scenario that motivated this question is related to the design of a drone …

Average consensus protocols play a central role in distributed systems and decision-making
such as distributed information fusion, distributed optimization, distributed estimation, and …

Ranking systems are instrumental in shaping user experiences by determining the
relevance and order of presented items. However, current approaches, particularly those …