Description: This course is a formal mathematical introduction to linear dynamical systems theory.
The course topics include 1) Review of linear algebra and signal/systems transform domain methods, 2)
linear modeling of dynamical systems through operator theoretic concepts, transfer function matrices,
and state-space equations, 3) Linearization methodologies (Taylor jet and Feedback linearization) 4)
Stability theory for linear systems (Lyapunov stability theory for time-varying and time-invariant systems)
4) Reachability and Observabity of Linear Systems, 5) Partially Controllable/Observable Systems, 6) Realization Theory,
7) Feedback in Linear Systems Theory, 8) Linear Quadratic Regulator, Steady-State Kalman Filters, and Observer-based
Control Systems.
Pre-requisites: Undergraduate course work in ordinary differential equations, linear algebra, and transform-based signal/systems concepts.
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Course Reading Materials
- REQUIRED: EE Dept. Lecture Book
- RECOMMENDED: J.P. Hespanha, Linear Systems Theory, Princeton University Press, 2nd edition, 2018
- RECOMMENDED: P.J. Antsaklis and A.N. Michel, A Linear Systems Primer, Birkhauser, 2007 edition
- RECOMMENDED: G. Strang, Linear Algebra and its Applications, Cengage Learning, 2006.
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