Non Linear Control

Code:

PDEEC0027

Acronym:

NLC

Keywords
Classification	Keyword
OFICIAL	Electrical and Computer Engineering

Instance: 2024/2025 - 2S

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

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
PDEEC	4	Syllabus	1	-	6	42	162

Teaching language

English

Objectives

The main goal of this course is to provide the students with a solid background in the analysis and design of nonlinear control systems.

Learning outcomes and competences

At the end of this course, the students should master the concepts introduced in the sessions and apply them to the analysis of nonlinear systems as well as to the design of control schemes for such systems.
This course covers the analysis and design of nonlinear control systems and is suitable for post-graduate students in science and engineering. The course begins with an introduction to nonlinear system theory and stability analysis. The last part of the course is dedicated to nonlinear control design tools such as feedback linearization, sliding mode control, Lyapunov redesign, backstepping, passivity based control, and nonlinear adaptive control. Emphasis is placed upon the application of the theory to systems of interest to the students.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Basic knowledge of calculus, linear algebra, and ordinary differential equations is assumed.

Program

Course Topics
1. Introduction to nonlinear systems
2. Stability and Lyapunov Theory  
3. Nonlinear Control Design Tools

Mandatory literature

Hassan K. Khalil; Nonlinear systems. ISBN: 0-13-067389-7

Complementary Bibliography

Jean-Jacques E. Slotine; Applied nonlinear control. ISBN: 0-13-040890-5
Sastry Shankar; Nonlinear systems. ISBN: 0-387-98513-1
Vidyasagar M.; Nonlinear systems analysis. ISBN: 0-13-623280-9

Teaching methods and learning activities

Classes, homeworks, and Project-based learning.

Software

Matlab
Octave

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Trabalho escrito	50,00
Apresentação/discussão de um trabalho científico	50,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	20,00
Frequência das aulas	30,00
Trabalho escrito	25,00
Apresentação/discussão de um trabalho científico	25,00
Total:	100,00

Eligibility for exams

Delivery of homework and the final project.

Calculation formula of final grade

Homeworks – 50%
Final Project – 50%

Observations

The following two types of projects are possible in this course:
- Solution of a research problem relevant to the student’s area of research, which makes use of methods described in the course.
- Independent study of a topic not covered in-depth in class (e.g., reading a paper or book chapter).