SIE 350 - Deterministic Systems

SIE 350 - Deterministic Systems (3) Modeling and analysis and design of linear deterministic systems in both the time and frequency domains. Input/output differential equations, Laplace transforms and state space methods. Attention will be given to modeling physical and engineering systems and computer simulations. 3ES. P, ECE 207, MATH 254.

R. Strum and D. Kirk, Contemporary Linear Systems, PWS Kent, 1995.

Matlab 5, student edition

Sidney J. Yakowitz, Professor of Systems and Industrial Engineering

1. Differential equations
2. Mechanics
3. Linear circuits
4. matrices

Programming test, checking if prerequisites have been completed

Introduce ODE models used in engineering and physics, understand their analytic and computational solution methods, and implications such as stability, etc.

1. Understand Laplace transform methods, convolution methods.
2. How to read and translate block diagrams.
3. How to interpret properties of equations.
4. Determine impulse response functions, transfer functions.

1. Signals and sequences (5 lectures)
2. Matlab (2)
3. Linear system models (4)
4. Laplace Transforms and applications (12)
5. Transfer functions and block diagrams (11)
6. Modeling and Case Studies (15)

Class Requirements:

1. Three lecture sessions per week
2. Homework every five lectures
3. Two midterms and a final

1. Numerical and symbolic solutions in Matlab and Maple
2. Approximately half of Homework requires computation

Laboratory Projects: None

1. Examinations
2. Graded homework

1. Mathematics or Basic Science 0 credits

2. Engineering Science or Design 3 credits

3. General Education Requirements 0 credits

4. Major Design Experience 0 credits

Contribution to program objectives: Goals 1, 4

Prepared by: Sidney J. Yakowitz    Date: April 15, 1998