Credits: 3
Linear systems; state space, multi-input, multi-output models; eigenstructure; controllability, observability, singular value analysis; multivariable Nyquist condition; observer design; introduction to Kalman filtering. Full state feedback techniques including pole placement and LQR/LQG techniques; introduction to loop shaping and robustness.Those sections that begin with a letter are designated for Master of Engineering students and are not intended for Master of Science or Ph.D.Students.
Description
Prerequisite: ENAE432.
Semesters Offered
Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025
Testudo