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Assessment and optimization of managed stochastic devices. Products: linear and nonlinear stochastic managed units, controlled Markov chains. Optimization of methods explained by Markov procedures; dynamic programming less than best and imperfect information, finite and infinite horizons.

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Topics incorporate Bayesian filtering; stochastic representations from the atmosphere; motion and sensor styles for cellular robots; algorithms for mapping, localization, setting up and Command within the presence of uncertainty; application to autonomous maritime, ground and air cars. CourseProfile (ATLAS)

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Style of components and application for modern embedded methods. Serious-time operating methods. Device motorists for standard operating methods. PCB layout together with power integrity and electromagnetic interference.

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