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ECTS:
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6
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Lecturers in charge:
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Prof. dr. sc.
Ivan Petrović
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English level:
1,1,1
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All teaching activities in the course will be held on English. This level includes courses with multiple groups (i.e., all teaching will be held strictly in Croatian for Croatian groups, and strictly in English for English groups).
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Description:
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Estimation problems definition. The role of the estimation techniques in complex systems. State estimation of deterministic systems. State estimation of stochastic systems: linear and nonlinear Kalman filters, particle filters. Dual estimation, multi-model estimation. Measurement data set compression. Application examples: estimation of difficult-to-measure variables, multi-sensor information fusion and fault detection in various technical systems, neural network training, object tracking etc.
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Literature:
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- Dirk Shröder (Ed.): Intelligent Observer and Control Design for Nonlinear Systems, Springer-Verlag, Berlin, 2000.
- Simon Haykin (Ed.): Kalman Filtering and Neural Networks, John Wiley & Sons, Inc., New York, 2001.
- Arnaud Doucet, Nando de Freitas, Neil Gordon (Ed.): Sequential Monte Carlo Methods in Practice, Springer-Verlag, New York, 2001.
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Ljetni semester
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course for
Graduation study
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