Introduction to Electrical Engineering :
EE224 lab manual

This lab manual was based on a book originally written by Paul H. Dietz (A Pragmatic Introduction to the Art of Electrical Engineering) using the Parallax BasicStamp. I modified these labs to work with Technological Arts MicroStamp11, a module based on the Motorola 68HC11 micro-controller that is programmed using “C”. Since 2000 this document has been the lab manual for the sophomore level circuit's lab at the University of Notre Dame.

Robust Control – EE555

This course studies the design of robust optimal controllers for linear continuous-time systems. Topics include: normed linear signal/system spaces, matrix fraction descriptions, uncertain systems, robust stability and performance, loopshaping, and the use of linear fractional transformations in solving the generalized regulator problem.

Optimal Control – EE565

This course is a rigorous introduction to the classical theory of optimal control. The topics covered in this course include optimization of static functions, the calculus of variations, Pontragin's principle, dynamic programming, linear quadratic optimal control, non-cooperative differential games with applications to control theory, and price-based control of decentralized dynamical systems.

Nonlinear Control - EE580

This course studies the analysis and design of nonlinear feedback control systems using Lyapunov and passivity methods. Topics include: classical Lyapunov stability theory, input-to-state stability, uniform ultimate boundedness, passivity methods, feedback designs for stabilization and disturbance rejection, exact feedback linearization, nonlinear H-infinity control, sliding mode control

Linear Systems Theory - EE550

State variable descriptions of linear dynamical systems. Solution of state equations for continuous-time and discrete-time systems. Input-output descriptions: impulse response and transfer function. Controllability, observability, canonical forms, stability. Realizations of input-output descriptions. State feedback and state observers. Polynomial matrix and matrix fraction descriptions of linear, time-invariant systems.

last modified 4/20/06