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We investigate the problem of controlling the probability density of the state of a process that is observed by the controller via a fixed but unknown scalar non-negative function of the state. The goal is to control the process so that its probability density at a point in the state space becomes proportional to the value of the function observed at that point. Our solution, inspired by bacterial chemotaxis, involves a randomized controller that switches among different deterministic modes. Wedoi:10.1109/tac.2012.2192356 fatcat:er57tve4ubccvfneauogfu5cqi