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\nThe interest in this work is motivated by cooperative and coordinated control of unmanned aerial vehicles (UAVs). This work is concerned with asymptotic properties of consensus-type algorithms for networked systems whose topologies switch randomly. The regime- switching process is modeled as a discrete-time Markov chain with a finite state space. The consensus control is achieved by using stochastic approximation methods. Distinct convergence properties of three different scenarios with respect to the stationary measure of the Markov chain are studied. Simulation results are presented to demonstrate these findings. \; \;

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\n**Refreshments will be served in the Math Library (RB434) at 3:30pm with the talk to follow at 4:00pm in Roger Bacon 412. \n**