Identification for Control

3 credits · Graduate Programs

Discretization of continuous time systems, zero-order hold. Random variables and stochastic processes. Impulse response estimation using ordinary and recursive least squares. Application to model based predictive control. Fitting parametric models of linear time invariant systems, as well as neural networks, using nonlinear least squares optimization. Prerequisite(s): Admission to the MEng (course-based) program. Antirequisite(s): Credit for Electrical Engineering 684 and 631 will not be allowed.