87 citations · 233 across the 36 of their papers we have counts for
7 papers · 1 filter
Structural Controllability of Multi-Agent Networks: Robustness against Simultaneous Failures
M. Amin Rahimian, Amir G. Aghdam
In this paper, structural controllability of a leader-follower multi-agent system with multiple leaders is studied from a graph-theoretic point of view. The problem of preservation…
Digraphs with Distinguishable Dynamics under the Multi-Agent Agreement Protocol
M. Amin Rahimian, Amir Ajorlou, Amir G. Aghdam
In this work, the ability to distinguish digraphs from the output response of some observing agents in a multi-agent network under the agreement protocol has been studied. Given a…
Learning without recall in directed circles and rooted trees
M. Amin Rahimian, Ali Jadbabaie
This work investigates the case of a network of agents that attempt to learn some unknown state of the world amongst the finitely many possibilities. At each time step, agents all…
Distributed Estimation and Learning over Heterogeneous Networks
M. Amin Rahimian, Ali Jadbabaie
We consider several estimation and learning problems that networked agents face when making decisions given their uncertainty about an unknown variable. Our methods are designed to…
Bayesian Heuristics for Group Decisions
M. Amin Rahimian, Ali Jadbabaie
We propose a model of inference and heuristic decision-making in groups that is rooted in the Bayes rule but avoids the complexities of rational inference in partially observed env…
Controllability Gramian Spectra of Random Networks
Victor M. Preciado, M. Amin Rahimian
We propose a theoretical framework to study the eigenvalue spectra of the controllability Gramian of systems with random state matrices, such as networked systems with a random gra…
Bayesian Learning without Recall
M. Amin Rahimian, Ali Jadbabaie
We analyze a model of learning and belief formation in networks in which agents follow Bayes rule yet they do not recall their history of past observations and cannot reason about…