Controls and Systems

Code:

EEC0025

Acronym:

SCON

Keywords
Classification	Keyword
OFICIAL	Basic Sciences for Electrotechnology

Instance: 2013/2014 - 1S

Active?	Yes
Responsible unit:	Department of Electrical and Computer Engineering
Course/CS Responsible:	Master in Electrical and Computers Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEEC	79	Syllabus (Transition) since 2010/2011	3	-	6	63	162
		Syllabus	3	-	6	63	162

Teaching language

Portuguese

Objectives

This course aims at providing the sudents with the necessary skills to perform the following tasks: analysis of feedback systems with static nonlinear elements; analysis of state space systems in continuous and discrete time; controller/observer synthesis; analysis of systems with stochastic inputs (after having acquired basic knowledge about stochastic processes).

Learning outcomes and competences

After this course the students should be able to:

Model processes using state space realizations

Construct complex controllers using the state space approach.

Apply their knowledge to the solution of interdisciplinary problems that involve their area of specialization.

Working method

Presencial

Program

1. Introduction to state space systems (continuous time and discrete time).
1.1- State space representation of nth order differential/difference equations
1.2- The transfer function of a state space representation
1.3 - Solution of the state space equations and modal analysis.
1.4 - Discretization of continuous state space models using the zero order hold (zoh) method.

2. Analysis of state space systems
2.1- Stability
2.2 - Controlability and observability
2.3 - Canonical representations

3 - Introduction to the realization theory
3.1 – Exact realizations
3.2 – Approximate realizations

4 - Control of state space systems.
4.1 – State feedback (with full state measurement).
4.2 – State observers.
4.3 – Feedback with state observation.
4.4 - Refrence tracking.

5. Linear systems with stochastic variables.
5.1 - Introduction to stochastic processes; correlation and spectral analysis.
5.2 - Response of a linear system to stochastic inputs.
5.3 - Introduction to stochastic filtering: the Kalman filter.
5.4 - Introduction to parameter estimation.

Mandatory literature

Roman Kuc; Introduction to Digital Signal Processing. ISBN: 0-07-035570-3
Isabel M. G. Lourtie; Sinais e sistemas. ISBN: 972-592-130-5
Chi-Tsong Chen; Linear system theory and design. ISBN: 4-8337-0191-X
J. L. Martins de Carvalho; Sistemas de controle automático. ISBN: 85-216-1210-9

Comments from the literature

The books are listed by order of use, according to the course contents.

Teaching methods and learning activities

Lectures: Exposition on the board/slides.
Exercise classes: Solution of problem sheets proposed by the instructor, using, whenever possible, computer simulations with Matlab's Control Systems Toolbox.

Software

Matlab

keywords

Technological sciences > Engineering > Control engineering

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	60,00
Participação presencial	0,00
Teste	40,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	108,00
Frequência das aulas	54,00
Total:	162,00

Eligibility for exams

Students must participate at least in 75% of the exercise classes.
Moreover, they must obtain a minimum grade of 3.0 out of 20 in the midterm.

Calculation formula of final grade

Normal regime:
Final grade = max[40% (midterm grade)+60%(final examination); final examination]

Other regimes:
Final grade = Final examination grade

Examinations or Special Assignments

In order to obtain a final grade above 18/20 (i.e., 19 or 20), the students must be submitted to a special (oral or written) exam, that will take place after the end of the re-sit examination period. The students in these conditions will have their names properly highlighted on the results sheet posted after the second exam sitting.

 

Obtaining a final classification superior to 18 marks (19 or 20) demands for a special exam that will be done after the end of the re-sit examination period. The students in these conditions will have their names properly highlighted on the results’ sheet posted after the written exams. The exams to be done by the students in the special examination period (item 5 of Article 6 in the General Evaluation Rules) can be oral exams, in which case they will be previously noticed.

Special assessment (TE, DA, ...)

The students admitted to the exam for being dismissed from frequency (under the items a), b) and c) of Article 4 of the General Evaluation Rules) will do, on the regular examination period, the same exam as the ordinary evaluation students. Obtaining a final classification superior to 18 marks (19 or 20) demands for a special exam that will be done after the end of the re-sit examination period. The students in these conditions will have their names properly highlighted on the results’ sheet posted after the written exams. The exams to be done by the students in the special examination period (item 5 of Article 6 in the General Evaluation Rules) can be oral exams, in which case they will be previously noticed.

Classification improvement

Classification improvement can be done accordingly to item 1 of Article 10 of General Evaluation Rules. This means it can be done if the student, within the established deadlines, enrolls on the re-sit exam of the regular period in which he obtained approval or (exclusively) on one of the tests of the regular period of the following year.

Observations

Language of instruction: Portuguese

Special support will be given to foreign students.