LEARNING OUTCOMES
The student understands the main concepts in stochastics, mathematics and main concepts related to estimation and state estimation, the role of uncertainty in dynamic systems and is able to implement state estimation algorithms both in linear and nonlinear case. The student understands what duality between control and estimation means in control engineering and, from this point of view, the main approaches of stochastic control.
Credits: 5
Schedule: 05.09.2023 - 08.12.2023
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Arto Visala, Kai Zenger
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Basics of statistics and stochastic processes. Basic concepts in estimation, ML, MAP, LS, MMSE; unbiased estimators. Linear estimation in static systems. Optimal state estimation in discrete linear dynamic systems, Kalman filter and information filter. Optimal State estimation in nonlinear dynamic systems, recursive functional relationship. Approximation of optimal nonlinear state estimation, particle filter, extended Kalman filters, 1st and 2nd order. Adaptive estimation. Duality of estimation and control. Main approaches in stochastic control.
Assessment Methods and Criteria
valid for whole curriculum period:
Final exam (66%), assignments (34%).
Workload
valid for whole curriculum period:
Contact teaching, independent studies and work based-learning, examination
Contact teaching: 12 X 2 +5 x 2 = 34 h
Indepenedent work: 97 h
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Autumn I - II
2023-2024 Autumn I - IIEnrollment :
Registration for Courses on Sisu (sisu.aalto.fi).