Credits: 1–4
A fourth-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.
Credits: 1–4
A fourth-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.
Credits: 3
Explores the modeling of linear dynamic systems via differential equations and transfer functions utilizing state space representations and classical input-output representations; the analysis of systems in the time and frequency domains; study of closed-loop systems; state-space methods and the classical stability tests, such as the Routh-Hurwitz criterion, Nyquist criterion, root-locus plots and Bode plots. Studies compensation design through lead and lag networks, rate feedback, and linear state-variable feedback. Prerequisite: ECE 3750 or instructor permission.
Credits: 2
A laboratory consisting of design, analysis, construction, and testing of electrical and electromechanical circuits and devices. Corequisite: ECE 4850.
Credits: 3
Introduces modeling, analysis, and control of dynamic systems, using ordinary differential and difference equations. Emphasizes the properties of mathematical representations of systems, the methods used to analyze mathematical models, and the translation of concrete situations into appropriate mathematical forms. Primary coverage includes ordinary linear differential and difference equation models, transform methods and concepts from classical control theory, state-variable methods and concepts from modern control theory, and continuous system simulation. Applications are drawn from social, economic, managerial, and physical systems. Cross-listed as MAE 6620. Prerequisite: APMA 2130 or equivalent.
Credits: 3
A first-level graduate course covering a topic not normally covered in the graduate course offerings. The topic will usually reflect new developments in the electrical and computer engineering field. Offering is based on student and faculty interests. Prerequisite: Instructor permission.
Credits: 3
A first-level graduate course covering a topic not normally covered in the graduate course offerings. The topic will usually reflect new developments in the electrical and computer engineering field. Offering is based on student and faculty interests. Prerequisite: Instructor permission.
Credits: 3
Studies the dynamics of linear, closed-loop systems. Analysis of transfer functions; stability theory; time response, frequency response; robustness; and performance limitations. Design of feedback controllers. Cross-listed as ECE 6851. Prerequisite: Instructor permission.
Credits: 3
A comprehensive treatment of the theory of linear state space systems, focusing on general results which provide a conceptual framework as well as analysis tools for investigation in a wide variety of engineering contexts. Topics include vector spaces, linear operators, functions of matrices, state space description, solutions to state equations (time invariant and time varying), state transition matrices, system modes and decomposition, stability, controllability and observability, Kalman decomposition, system realizations, grammians and model reduction, state feedback, and observers. Cross-listed as SYS 6012 and ECE 6852. Prerequisite: Graduate standing.
Credits: 3
Provides a working knowledge of the analysis and design of linear automatic control systems using classical methods. Introduces state space techniques; dynamic models of mechanical, electrical, hydraulic and other systems; transfer functions; block diagrams; stability of linear systems, and Nyquist criterion; frequency response methods of feedback systems design and Bode diagram; Root locus method; System design to satisfy specifications; PID controllers; compensation using Bode plots and the root locus. Powerful software is used for system design. Cross-listed as MAE 6610. Prerequisite: ECE 3750 or instructor permission.
Credits: 3
Studies linear dynamical systems emphasizing canonical representation and decomposition, state representation, controllability, observability, stability normal systems, state feedbacks and the decoupling problem. Representative physical examples. Cross-listed as MAE 6620. Prerequisite: APMA 6150, ECE 6851, or instructor permission.
Credits: 1–3
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
Credits: 3
State space theories for linear control system design have been developed over the last 40 years. Among those, H2 and Hinf control theories are the most established, powerful, and popular in applications. This course focuses on these theories and shows why and how they work. Upon completion of this course, student will be confident in applying the theories and will be equipped with technical machinery that allows them to thoroughly understand these theories and to explore new control design methods if desired in their own research. More importantly, students will learn a fundamental framework for optimal system design from a state perspective. Cross-listed as ECE 7855. Prerequisite: MAE 6620.
Credits: 3
Studies advanced topics in modern multivariable control theory; matrix fraction descriptions, state-space realizations, multivariable poles and zeroes; operator norms, singular value analysis; representation of unstructured and structured uncertainty, linear fractional transformation, stability robustness and performance robustness, parametrization of stabilizing controllers; approaches to controller synthesis; H2-optimal control and loop transfer recovery; H2-optimal control and state-space solution methods. Cross-listed as MAE 7650. Prerequisite: ECE 6852 or equivalent, or instructor permission.
Credits: 3
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
Credits: 3–6
Formal record of student commitment to project research under the guidance of a faculty advisor. Registration may be repeated as necessary.
Credits: 1–12
For master's students.
Credits: 1–12
Formal record of student commitment to master's thesis research under the guidance of a faculty advisor. May be repeated as necessary.
Credits: 1–12
For doctoral students.
Credits: 1–12
Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.
