SYST611: System Methodology and Modeling
Spring 2003
http://ite.gmu.edu/~kchang/
Instructor: Dr. K.
C. Chang Class
room: ST 110
Class
time: Tu,
Office phone: (703) 9931639 Office no.: SITEII: Rm 315
Email: kchang@gmu.edu
This
course will have homework assignments, a mid term, and a final exam. They will constitute 30%, 30%, and 40% of the
grade, respectively. The homework that
is assigned in the lecture is due in two weeks.
1. David Luenberger, Introduction to Dynamic Systems, Wiley,1979.
2. Joseph J. DiStefano, III, et al. Theory and Problems of Feedback and Control Systems. 2^{rd} Edition, Schaum's outline series, McGrawHill, 1994
References
1. Bradley W.
2. Naim A. Kheir, Systems Modeling and Computer Simulation, Dekker, 2^{nd} ed., 1996.

Topics 
Assignments 
Lecture #1 
Introduction, Course Overview and Prerequisite, Taxonomy of Models and Methods, Systems Concept and Fundamentals 
DL:Ch. 13 JD:Ch. 13, Class notes BD: 
Lecture #2 
Discrete Linear
Systems, InputOutput and States, Stability, Computational Approaches, Interconnected
Systems and Block Diagram 
DL: JD:Ch. 46, Class notes BD:p.7998, p.115119 
Lecture #3 
Continuous Linear Systems, Stability
Issues, Systems Characteristics in Various
Domains, Discretization of Continuous Systems, Sampling Theorem 
DL: JD: Class notes 
Lecture #4 
Discretization Techniques Analysis, Stability, Nonlinear Systems, Solution of Nonlinear Systems, Iterated Numerical methods 
Class notes JD: BD: 
Lecture #5 
System
Linearization and Stability, System Behavior and Phase Plane Analysis, InputOutput Analysis; Piece wise Linear 
DL: JD: Class notes 
Lecture #6

Discrete Event Dynamic Systems; Overview of Deterministic Systems, Discrete, Continuous; Linear, Nonlinear; Discretization, Linearization; Stability; Computational Issues 
Class notes 

Mid term Examination 
Lectures 16 
Lecture #7 
Introduction to Uncertainty and Stochastic Process, Noisy Linear Systems 
Class notes 
Lecture #8 
Markov Process and
Markov Chains, Systems Reliability 
DL: Class notes 
Lecture #9 
Resource Allocation
problems, Parameter Optimization, Constraints 
Class notes BD: 
Lecture #10 
Linear Programming,
Systems Engineering Applications, Case Study 
Class notes 
Lecture #11 
Dynamic
Programming, Systems Engineering Applications, Network Problem 
Class notes 
Lecture #12 
Optimal Control 
DL:Cph. 11, Class notes 

Course Review 
Class notes 

Final Examination 
Lectures 112 