The weekly sections include the introduction to control systems
with presentation of applied control examples from various
technical fields. The mathematical model of the physical systems
and the ordinary differential equation that governs them are
described. Open-closed loop systems. Laplace transform, partial
fraction expansion. Zero initial value-zero input response, system
transfer function. System transfer matrix. Block diagrams and their
transformations, signal-flow graphs. State variables and state
differential equations of dynamic systems. Time response of 1st
and 2nd order systems, performance indices. Steady-State errors.
Simulation of systems with Simulink. Control systems stability,
Routh-Hurwitz stability criterion. Root Locus Method.

The purpose of this course is to provide the student with a
comprehensive introduction to the theory and applications of
Control Systems with emphasis in the analysis.
The student will deal with the simulation of physical systems on a
computer and finding design criteria performance through
assignments and solving selected exercises.
In addition, the student will complete a series of selected
laboratory exercises that implement experimental devices and use
Operational Amplifiers (OPAMPs) in the simulation of systems.
Upon successful completion of this course the student will be able
to:
1. Distinguish the meaning of open and closed loop and to
understand the process of feedback and comparison.
2. Develop the mathematical model that describes the physical
system to be examined and derive the differential equation that
characterizes it.
3. Familiarize himself with the use of the Laplace transform to be
able to calculate systems response.
4. Be able to describe a system with the help of the transfer
function and state equations.
5. Learn the use of operating diagrams and flowcharts for system
representation.
6. Design Root Locus plots.
7. Implement experimental devices and to use operational
amplifier circuits (OPAMPs) in systems simulation.
General Competences:
• Search, analyze and synthesize data and information with
the use of the necessary technologies
• Individual Work
• Teamwork
• Design and Project Management

Applied Mathematics 

I. Written final examination (70%) comprising:
- Solving problems related to quantitative data
II. Final laboratory test (30%), which includes mandatory individual
assignments (30% of the laboratory examination)

1. Σύγχρονα Συστήματα Αυτομάτου Ελέγχου, 13η Έκδοση,
Dorf Richard C., Bishop Robert H., ΕΚΔΟΣΕΙΣ Α. ΤΖΙΟΛΑ &
ΥΙΟΙ, 2017.
2. Συστήματα Αυτομάτου Ελέγχου, Ogata K., ΓΡΗΓΟΡΙΟΣ ΧΡΥ-
ΣΟΣΤΟΜΟΥ ΦΟΥΝΤΑΣ, 2011.
3. Συστήματα Αυτομάτου Ελέγχου, 2η Έκδοση, Μαλατέστας
Παντελής, ΕΚΔΟΣΕΙΣ Α. ΤΖΙΟΛΑ & ΥΙΟΙ, 2017.
4. G. F. Franklin and al, Feedback control of Dynamic Systems,
5th ed., Pearson Prentice Hall, 2006.
5. Π. Ν. Παρασκευόπουλος, Εισαγωγή στον Αυτόματο Έλεγ-
χο. Τόμος Α Θεωρία, Αθήνα 2001.