Bijan Ranjbar Sahraei

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This paper proposes a new model, based on the theory of nonlinear dynamical systems, to study the evolution of cooperation in arbitrary complex networks. We consider a large population of agents placed on some arbitrary network, interacting with their neighbors while trying to optimize their fitness over time. Each agent’s strategy is continuous in nature,(More)
In this paper, a novel decentralized adaptive control scheme for multiagent formation control is proposed based on an integration of artificial potential functions with robust control techniques. Fully actuated mobile agents with partially unknown models are considered, where an adaptive fuzzy logic system is used to approximate the unknown system dynamics.(More)
Recent years have witnessed a rapidly growing interest in using teams of mobile robots for autonomously covering environments. In this paper a novel approach for multi-robot coverage is described which is based on the principle of pheromone-based communication. According to this approach, called StiCo (for “Stigmergic Coverage”), the robots communicate(More)
We study the evolution of cooperation in social networks, aiming in particular at ways of influencing the behavior in such networks using methods and techniques from optimal control theory. This is of importance to many scenarios where politicians or policy makers strive to push consensus on some topic that may seem suboptimal from individuals’(More)
This paper presents a theoretical as well as empirical study on the evolution of cooperation on complex social networks, following the continuous action iterated prisoner’s dilemma (CAIPD) model. In particular, convergence to network-wide agreement is proven for both evolutionary networks with fixed interaction dynamics, as well as for coevolutionary(More)
In this chapter we study the application of existing entity resolution (ER) techniques on a real-world multi-source genealogical dataset. Our goal is to identify all persons involved in various notary acts and link them to their birth, marriage and death certificates. We analyze the influence of additional ER features such as name popularity, geographical(More)
In this paper, a decentralized adaptive control scheme for multi-agent formation control is proposed. This control method is based on artificial potential functions integrated with adaptive fuzzy H<sup>&#x221E;</sup> technique. We consider fully actuated mobile agents with partially unknown models, where an adaptive fuzzy logic system is used to approximate(More)
This paper explores a multi-robot coverage approach called StiCo (for“Stigmergic Coverage”) by deriving a probabilistic macroscopic model. The proposed model makes it possible to quickly and efficiently study the swarm-type behavior of StiCo, and also allows for making predictions about its long term behavior. The model is validated in a twofold way:(More)
This paper proposes an adaptive robust fuzzy controller for the tracking problem of a class of uncertain nonlinear MIMO systems. The control signal is comprised of two parts. One part is an adaptive fuzzy controller which approximates the system unknown functions using an interval type-2 fuzzy approximator. The other part is an H<inf>&#x221E;</inf> based(More)