Linear System Theory
525.466
Course Description
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.
Syllabus
Prerequisites
Courses in matrix theory and linear differential equations.
Instructor
Alan Pue is a member of the Principal Professional Staff at the Johns
Hopkins University Applied Physics Laboratory. He is Assistant Supervisor of the Guidance
and Navigation Systems Group. Dr. Pue holds a B.S. and M.Eng. from Cornell University and
a Ph.D from the University of Maryland. Dr. Pue has over 20 years experience in the design
and analysis of guidance, navigation, and control systems for applications that include
automated transportation, space telescope pointing, and tactical missiles.
Computer Lab Requirements
Use of MATLAB is introduced.
Textbook
Linear System Fundamentals by Reid
Return to Electrical Engineering Courses | Electrical Engineering | Part-Time Engineering