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EE 453
Title:
LINEAR SYSTEM THEORY
Credits: 4
Catalog
Description: Introduction to
realization theory for single-input, single-output (SIAO) systems.
Solution of the state space equations.
Structural properties: controllability, observability,
detectability, stabilizability. State
feedback design, observer design and design of observer-based
compensators for SISO systems.
Prerequisites:
EE 303, EE 352.
Coordinator:
Kadri Özçaldıran, Professor of Electrical Engineering
Goals: This
course aims to expose the senior year students to analysis and design of
linear systems (time-invariant and single-input, single-output more
often than time varying and multi-input, multi-output) in time domain.
Basic notions and tools of state-space analysis as well as basic
design techniques for linear systems (e.g., state feedback, observers)
are introduced.
Learning
Objectives:
At the end of this course, students will be able to:
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Find
a realization of a given proper transfer
function.
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Solve
state-space equations for linear systems.
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Design
a state feedback law to stbilize and/or
pole assign a linear system.
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Design
an observer.
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Combine
state feedback design and observer design
to build an observer-based dynamic compensator.
Textbook:
T. Kailath, Linear Systems, Prentice-Hall,
2000.
Reference
Texts:
- W.L.
Brogan, Modern Control Theory,
3rd. edition,
Prentice-Hall,1991,
- W.J. Rugh,
Linear System Theory, 2nd.
Edition, Prentice-Hall, 1996.
- P.J.
Antsaklis and A.N. Michel, Linear
Systems, Mc Graw
Hill, 1997.
Prerequisites
by Topic:
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Linear algebra
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Classical control
theory
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Linear circuits
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Laplace Transform
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Ordinary differential
equations
Topics:
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An overview of linear algebra (2-4 weeks)
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An introduction to realization theory. (2 weeks)
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Solving the state-space equations. (1 week)
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Controllability.
State
feedback design. Stabilizability.
(3 weeks)
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Observability.
Observer
design. Detectability. (2
weeks)
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Design of observer based compensators. (1 week)
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(Time permitting) Introduction to optimal control and optimal
estimation. (2 weeks)
Course
Structure: The class meets for two lectures a week, each consisting
of two 50-minute sessions. 3-4 sets of homework problems are assigned
per semester but they are not collected.
There are two in-class mid-term exams and a final exam.
Computer
Resources: Students are encouraged to use MATLAB to solve their
homework problems.
Laboratory
Resources: None.
Grading:
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Two
mid-term exams (25% each).
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A final
exam (50%).
Outcome
Coverage:
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Apply math,
science and engineering knowledge.
This course is about first order vector valued ordinary
differential equations and a number of control concepts developed for
such models. Different
tools from mathematics (linear algebra, differential equations, complex
variables) as well as from sciences (physics) and engineering (dynamics)
are heavily drawn upon during lectures, homework sets and exams.
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Design a
system, component or process to meet desired needs. Designing a
state feedback law to arbitrarily assign the closed-loop eigenvalues,
designing an observer to estimate the state and designing an
observer-based dynamic compensator account for more than half of the
course time.
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Use of modern engineering tools. Students use MATLAB and a number of
MATLAB packages (like Control Toolbox, Simulink) for their homework
assignments.
Prepared By:
Kadri Özçaldıran
Last revised:
May
1, 2003
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