SYST 611 – System Methodology and Modeling

Spring 2006


Dr. Harold Camp


(703) 585-7745 (with voice mail)


Office Hours:

Mondays  before and after class, others by appointment

Course Description:

611 System Methodology and Modeling (3:3:0) Prerequisite: SYST 500 or equivalent. Provides broad yet rigorous introduction to methodologies. Emphasizes systems modeling and performance. Topics include system model and behavior analysis, linear and nonlinear systems, discretization and linearization, optimization, dynamic programming and optimal control. Methodologies address system performance issues, and assist in the evaluation of alternative system designs. Resource allocation for planning and control introduced.


  1. David Luengerger, “Introduction to Dynamic Systems”, Wiley, 1979
  2. Joseph J. DiStefano, et. al., “Theory and Problems of Feedback and Control”, 2nd Edition, Schaum’s Outline Series, McGraw Hill, 1994
  3. Student Edition of MATLAB with SIMULINK, Available through GMU Bookstore


25% - Group Project:

·        Define the Project & Modeling Plan

·        Build the Model and Execute the Plan

·        Results and Interpretation of Results

25 % - Homework

20% - Mid Term Exam

30% - Final Exam

Group Project

The Group Project is one focal point of student effort within this course.  The majority of effort toward the group projects will be expended outside of class, with class time being reserved for reporting on activities. Each group will parametrically analyze a complex system, plan a modeling activity with specific goals, build the model, execute the plan, and interpret the results with regard to the system being modeled. Criteria and guidance for these activities will be given in class. Each group will present their project to the class.


Examinations are comprehensive over the work performed during the course and the course lecture material. Examinations will be open book and open notes since the examinations will test you on the application of principles learned. You will be expected to interpret the material of the course, not to repeat it via rote memory. The examinations are intended to enhance the student’s classroom experience and challenge the student to correctly apply the course material. Examinations are not designed to punish the student.

CLASS SCHEDULE – Updated on 21 January 2006

Week 1, Los Angeles

23 January

¨       No Class, Meet Monday 30 January

Week 2> 

30 January

¨       Lecture: Overview of Systems Methodology and Modeling

¨       Form and Organize Groups

Week 3>

6 February

¨       Lecture: Methodologies.

¨       Lecture: Evaluation of alternative system designs

Week 4>

13 February

¨       Note: Systems modeling and performance

¨       Work on Project

Week 5>

20 February

¨       Lecture: Behavior analysis

Week 6>

27 February

¨       Lecture: Linear systems (LaPlace Transforms)

¨       Groups: Turn in Project Definition

Week 7>

6 March

¨       Mid-Term Exam

Week 8>

13 March

¨       Spring Break

Week 9>

20 March

¨       Lecture: Non-linear systems  & Linearization

Week 10>

27 March

¨       Lecture: Discrete systems and discretization (z-Transforms)

¨       Groups: Turn In Modeling Plan

Week 11>

3 April

¨       Lecture: Optimization

Week 12>

10 April

¨       Lecture: Discrete Control Systems

¨       Lecture: Optimal Control

Week 13>

17 April

¨       Lecture: Analysis of Server Systems

Week 14>

24 April

¨       Lecture: Feedback Control Systems

¨       Groups: Turn in Results and Interpretation of Results

Week 15>


1 May

¨       Lecture: Review for Final Exam

¨       Group 1 Presentation

¨       Group 2 Presentation

¨       Group 3 Presentation

Week 16

8 May

¨       Reading day, Dr. Camp available via phone & email

Week 16>

15 May

¨       Final Examination


Note: Weekly minutes of group activities to be emailed to beginning 6 February 2006. Format will be discussed in class.