Automatic Control Systems IΙ

Course Information
TitleΣυστήματα Αυτομάτου Ελέγχου ΙI / Automatic Control Systems IΙ
SchoolElectrical and Computer Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorGeorgios Rovithakis
Course ID600000980

Programme of Study: Electrical and Computer Engineering

Registered students: 298
OrientationAttendance TypeSemesterYearECTS
CORECompulsory Course636

Class Information
Academic Year2019 – 2020
Class PeriodSpring
Faculty Instructors
Class ID
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
  • Distance learning
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Examination)
General Prerequisites
1. Linear Algebra 2. Differential Equations 3. Numerical Analysis 4. Signals and Systems Theory 5. Automatic Control Systems I
Learning Outcomes
Upon successfull completion of the course, the students will be able to: a) analyze linear state space control systems; b) understand methods of analysis and design of nonlinear control systems; c) design controllers for linear and nonlinear control systems.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work autonomously
  • Generate new research ideas
  • Advance free, creative and causative thinking
Course Content (Syllabus)
1. Modeling (state-space, modeling of dynamical systems in the state-space, mathematical modeling, mathematical modeling examples). 2. Fundamental Properties of Dynamical Systems (dynamical system solution, equilibrium points, limit cycles, stability definitions, stability of linear systems, stability analysis via linear approximation, Lyapunov stability analysis, Lasalle’s Invariance Theorem). 3. Linear Systems (linearity, time-invariance, initial state response, the transition matrix and its derivation, eigenvalues and rhythms, input-output response, linearization). 4. Linear State Feedback Control (controllability (definition, criteria), uncontrollable form, stabilization, controllable canonical form, stabilization via state feedback, eigenvalue assignment, state feedback control design, linear quadratic regulator). 5. Linear Output Feedback Control (Observability (definition, criteria), observable canonical form, state estimation-observers, control with observers, Kalman’s decomposition). 6. Control Design in the Presence of Uncertainties (robust performance, modeling errors, disturbance rejection, Lyapunov re-design, robust linear control design).
Control systems, stability, robustness
Educational Material Types
  • Notes
  • Video lectures
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Course Organization
Laboratory Work150.5
Student Assessment
Written Examination (midterm-final) Laboratory Examination
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Problem Solving (Summative)
  • Labortatory Assignment (Summative)
Course Bibliography (Eudoxus)
1. Βασίλειος Πετρίδης, Συστήματα Αυτομάτου Ελέγχου Τόμος Β, 2005. 2.R. Dorf, R. H. Bishop, Σύγχρονα Θέματα Αυτομάτου Ελέγχου, Εκδόσεις Τζιόλα, 2009.
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