Akademik Dersler - İçerik

0 : Does not support 1 : Low-level support 2 : Mid-level support 3 : Top level support

Learning Outcomes
Students will be able to define and represent complex physical systems using signals, systems, and linear state-space models.
Students will have proficiency in formulating and solving both deterministic and stochastic least squares problems for various applications.
Students will be able to apply Wiener theory and the innovation process to extract meaningful information from scalar processes and noisy data.
Students will be able to design, implement, and analyze the performance of standard and extended Kalman filters for state estimation in linear and non-linear systems.