University of Wisconsin Madison
State Space Systems Analysis (E C E 334) Syllabus
Course Learning Outcomes
    Course Learning Outcome
  • 1
    Mastery of state (differential) equations (linear constant coefficieint)
  • 2
    Expertise in Matlab, Simulink and symbolic computation
  • 3
    Improvement of matrix algebra skills
  • 4
    Laplace Transform methods
  • 5
    Various stability analysis and robustness methods
State Space Systems Analysis
E C E 334 ( 3 Credits )
Analysis of systems using matrix methods to write and solve state-variable differential equations. Additional topics include stability, controllability, observability, state feedback, observers, and dynamic output feedback.
Math 320 or 340 or con reg
College: College of Engineering
Instructor Name
Instructor Campus Address
Contact Hours
Course Coordinator
Text book, title, author, and year

No Official Text. Use of web resources such as tutorials, lecture notes and reviews such as Schaum's outlines.

Supplemental Materials
Required / Elective / Selected Elective
Selected Elective
ABET Program Outcomes Associated with this Course
Program Specific Student Outcomes
Brief List of Topics to be Covered

- State space versus frequency domain methods

- State space realization methods

- Linearization of nonlinear systems

- State transformations and canonical forms

- Introduction to pole assignment

- Solutions of state equations

- The matrix exponential and state transitions

- Transformations of state variables

- Controllability and observability

- Uncontrollable or/and unobservable systems

-  Stabilizability and detectability

- Observers in linear Systems

- Pole placement via linear feedback

- Reduced order observers

- The Separation Principle

- Compensators design using observers

- Stability and Lyapunov methods

- Robustness considerations

Additional Information
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