SYST 611 – System Methodology and Modeling

Fall 2005


Dr. Harold Camp


(703) 585-7745 (with voice mail)


Office Hours:

Wednesdays  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


30% - Group Project:

·        10% Define the Project & Modeling Plan

·        10% Build the Model and Execute the Plan

·        10 % Results and Interpretation of Results

30 % - Homework

20% - Mid Term Exam

20% - 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 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 you and other students performed during the course and the course lecture material. Examination will be open book and open note since the examinations will test you on the application of princeles 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 31 August 2005

Week 1>

31 August

¨       Lecture: Overview of Systems Methodology and Modeling

Week 2>   San Diego

7 September

¨       Guest Lecturer (first half of class)

¨       Form and Organize Groups

Week 3>

14 September

¨       Lecture: Methodologies.

¨       Lecture: Evaluation of alternative system designs

Week 4>

Los Angeles

21 September

¨       Note: Guest Lecturer (first half of class)

¨       Work on Project

Week 5>

28 September

¨       Lecture: Systems modeling and performance

¨       Lecture: Behavior analysis

¨       Groups: Turn in Project Definition

Week 6>

5 October

¨       Lecture: Linear systems

Week 7>

12 October

¨       Lecture: Non-linear systems

¨       Groups: Turn In Modeling Plan

Week 8>

19 October

¨       Mid-Term Examination

Week 9>

26 October

¨       Lecture: Discrete systems and discretization

Week 10>

2 November

¨       Lecture: Linearization

Week 11>

9 November

¨       Lecture: Optimization

Week 12>

16 November

¨       Lecture: Dynamic programming

¨       Lecture: Optimal Control

¨       Turn in Model and Execution

Week 13>

23 November

¨       No Class -- Thanksgiving

Week 14>

31 November

¨       Lecture: Resource allocation for planning and control

¨       Group 1 Presentation

¨       Group 2 Presentation

¨       Group 3 Presentation

Week 15>


7 December

¨       Lecture: Review for Final Exam

¨       Group 4 Presentaiton

¨       Group 5 Presentation

¨       Group 6 Presentation

Week 16>

14 December

¨       Final Examination (includes requirements group evaluations)

¨       Groups: Turn in Results and Interpretation of Results

Note: Weekly minutes of group activities to be emailed to beginning 6 October 2005. Format will be discussed in class.