(3 units). Dynamical systems and their computational models, probability and stochastic processes, stochastic dynamical systems, state estimation in linear dynamics using Kalman filtering, state estimation of nonlinear dynamical systems, system identification using combined state and parameter estimation, application to engineering. Includes: Experiential Learning Activity. This course is equivalent to CIVE 5109 at Carleton University. Course Component: Lecture
(3 units). Dynamical systems and their computational models, probability and stochastic processes, stochastic dynamical systems, state estimation in linear dynamics using Kalman filtering, state estimation of nonlinear dynamical systems, system identification using combined state and parameter estimation, application to engineering. Includes: Experiential Learning Activity. This course is equivalent to CIVE 5109 at Carleton University. Course Component: Lecture
