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Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many tasks arising in these domains makes them difficult to solve with preprogrammed agent behaviors. The agents must, instead, discover a solution on their own, using learning. A significant part of the research on multiagent learning...
Several stable adaptive fuzzy control schemes based on feedback linearization and Lyapunov synthesis were proposed in the literature. However, most of such controllers have been only tested on relatively simple simulations examples, in which the effects of noise, uncertainties, computational times and other fundamental problems related to hardware implementation are neglected. In this paper, we study...
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