Instructor: Stanislaw H. Żak
University, Electrical Engineering Bldg, 465
Lafayette, IN 47907-2035
Official Homepage: https://engineering.purdue.edu/ECE/People/profile?resource_id=3272
To familiarize students with current trends in dynamic systems control
while at the same time equipping them with the tools necessary for advanced
feedback design problems. The emphasis will be on design in order to show
how control theory fits into practical applications.
An introduction to modeling, analysis, and design of dynamical control
systems. Stability; Lyapunov's second method and
its applications to the control system design. Optimal control methods;
linear quadratic regulator, dynamic programming, Pontryagin's
minimum principle. Robust feedback control of dynamic systems. Adaptive
control. Model-based predictive control (MPC).
Proportional-integral-derivative (PID) control design.
Prerequisites: Linear algebra,
ordinary differential equations, and calculus of several variables. In
particular: matrix manipulation, linear spaces, quadratic forms,
differentiation of real-valued functions of many variables, gradients, and the chain rule. Working
knowledge of linear systems. You may review your linear algebra at your
leisure by viewing video lectures
by Professor Gilbert Strang.
Homework: There will be five funwork
assignments. Funwork assignments will be averaged
out to be worth 200 points.
Exams: There will be
two one-hour exams, each weighted 100 points. The final exam will be worth
200 points. Thus the course grade will be based on 600 points.
CEE minimum computer requirements; the Student Edition of MATLAB (a
math-tools program), or its professional version, Version 7 or higher.
Stanislaw H. Żak, Systems and
Control, Oxford University Press, New York, 2003, ISBN