For a wide range of control engineering applications, the problem of solving a system of
linear equations is often encountered and has been well studied. Traditionally, this problem …

We address the problem of reaching resilient consensus among a set of agents in the
presence of faulty nodes (attacked or noisy). We propose general algorithms, ie, receiving …

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 …

Learning automata (LA) with artificially absorbing barriers was a completely new horizon of
research in the 1980s (Oommen, 1986). These new machines yielded properties that were …

In this paper, we propose a framework to study the resistance to bribery of nodes in a
network via average consensus. We extend the proposed bribery resistance measure to sets …

We tackle the problem of a set of agents achieving resilient consensus in the presence of
attacked agents. We present a discrete-time reputation-based consensus algorithm for …

We address the Desynchronization problem of achieving an equally spaced transmission
schedule in a cooperative fashion. This problem arises in a shared medium communication …

For the analysis of data defined over irregular domains, the recent area of graph signal
processing extends classical signal processing techniques to the case of graphs. A …

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

This paper proposes three distributed algorithms for solving linear algebraic equations to
seek a least squares (LS) solution via multi-agent networks. We consider that each agent …