This course covers the structure and properties of linear dynamic systems with an emphasis on the single-input, single-output case. Topics include the notion of state-space, state variable equations, review of matrix theory, linear vector spaces, eigenvalues and eigenvectors, the state transition matrix and solution of linear differential equations, internal and external system descriptions, properties of controllability and observability and their applications to minimal realizations, state-feedback controllers, asymptotic observers, and compensator design using state-space and transfer function methods. An introduction to multi-input, multi-output systems is also included, as well as the solution and properties of time-varying systems.
Courses in matrix theory and linear differential equations.
Obtain a fundamental understanding of the structure, solution, and characteristics of both linear algebraic and linear dynamic systems
Understand the characteristics and structural properties of linear dynamic systems:
Understand the relationships betwen input-ouput behavior and internal (state) descriptions
Utilize this knowledge to alter the behavior of a system in a useful way
Odd year Fall terms at APL
| 2 Quizzes | 30% |
| Final Exam | 30% |
| Homework | 40% |
All homework is due within one week of its assignment. Late homework will not be accepted without the prior permission of the instructor.
Textbook information for this course is available online through the MBS Direct Virtual Bookstore.
There are notes for this course.
Course provides an essential understanding of linear system theory which is fundamental to many applications in control, communications, and signal processing
(Last Modified: 07-23-2009 at 3:33:09 PM)