COURSE INFORMATION Course Title: AUTOMATIC CONTROL SYSTEMS

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
ECE 464	C	99	3	2	0	4	7.5

Language:	English
Compulsory/Elective:	Elective
Classroom and Meeting Time:
Course Description:	This course intends to present treatment of the classical digital control with an introduction to modern digital control system in the state space. The course introduces the fundamental concepts, principles and application of digital control system analysis and design to the MSc students. This course goes deeper into the various aspects of digital control engineering. Each topic is developed in logical progression with up-to-date information. The topics cover classical control design methods as well as the modern control design techniques. A number of chosen problems are solved to illustrate the concepts clearly. A suite of exercises is also provided. Open-source software like Octave and Scilab are used throughout the course.
Course Objectives:	The objective is to teach various methods of synthesizing control systems for real-world complex dynamic systems such that the desired end user objectives are met satisfactorily. The course aims to cover some landmark results on the infeasibility of design objectives. The course then aims to teach algorithms to check the feasibility of the performance objectives.

COURSE OUTLINE

Week	Topics
1	Review of states space modeling, linearization of nonlinear sytsems
2	Response of linear systems
3	Controllability and observability - concepts and tests
4	Balanced realization / model reduction
5	Introduction to Robustness and performance tradeoff
6	State feedback and observer output feedback
7	Innovation feedback and Q-Parameterization
8	Linear Quadratic Regulator (LQR)
9	Midterm
10	Deterministic Kalman filter and LQG/LTR
11	Trajectory tracking control
12	Input Shaping
13	Internal model control and repetitive control
14	Lyapunov stability concepts

Prerequisite(s):	Differential Equations, Linear Algebra
Textbook:	Ken Dutton, Steve Thompson, Bill Barraclough, The Art of Control Engineering , Dorf and Bishop, Modern Control Systems, J.A. Rossiter, Model-Based Predictive Control
Other References:	Goodwin, Graebe, Salgado, "Control System Design", Prentice Hall, 2001.
Laboratory Work:	2
Computer Usage:	MATLAB
Others:	No

COURSE LEARNING OUTCOMES

1	Analyse a given dynamic system expressed using ordinary differential equations, and check whether the end user objectives are feasible or not.
2	Construct a controller synthesis problem as a constrained optimization problem using state space representation (note: here, the controller can be PID or optimal or H-infinity or L1 adaptive).
3	Use linear programming and LMI programming to solve this problem, and write the associated software code using MATLAB.

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Master of Science in Electronics and Communication Engineering Program
1	Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.	5
2	Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations	5
3	Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.	5
4	Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies.	5
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	5
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.	5
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.	5
8	Ability for effective oral and official communication skills in foreign language.	4
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	5
10	Engineering graduates with well-structured responsibilities in profession and ethics.	5
11	Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues.	4
12	Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity.	4

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	30
Presentation	1	20
Final Exam	1	40
Other	1	10
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	3	48
Hours for off-the-classroom study (Pre-study, practice)	16	3	48
Mid-terms	1	20	20
Assignments	2	20	40
Final examination	1	25	25
Other	1	6.5	6.5
Total Work Load:			187.5
Total Work Load/25(h):			7.5
ECTS Credit of the Course:			7.5