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	Algorithms of Electrical Drives State Estimation Herman, Ivo ; Vavřín, Petr (referee) ; Václavek, Pavel (advisor) This thesis deals with state estimation methods for AC drives sensorless control and with possibilities of the estimation. Conditions for observability for a synchronous drive were derived, as well as conditions for the moment of inertia and the load torque observability for both drive types - synchronous and asynchronous. The possibilities of the estimation were confirmed by experimental results. The covariance matrices for all filters were found using an EM algorithm. Both drives were also identified. The algoritms used for state estimation are Extended Kalman Filter, Unscented Kalman Filter, Particle Filters and Moving Horizon Estimator. Detailed record
	Filtrace se smíšenými spojitými a diskrétními stavy: speciální případ Suzdaleva, Evgenia The paper deals with algorithms of the state estimation with mixed-type (continuous and discrete) states with application in urban traffic control area. Detailed record
	Faktorizovaný Kalmanův filtr Suzdaleva, Evgenia The present work considers the problem of the factorized filtering with Gaussian models and offers the solution, based on applying the L'DL decomposition of the covariance matrix. The results of such filtering is the posterior state estimate with the mean value and the factorized matrix of covariance. Detailed record

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