Code: | EEC0083 | Acronym: | SBIC |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Automation, Control & Manufacturing Syst. |
Active? | Yes |
Responsible unit: | Department of Electrical and Computer Engineering |
Course/CS Responsible: | Master in Electrical and Computers Engineering |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
MIEEC | 127 | Syllabus | 4 | - | 6 | 56 | 162 |
The main goal of the discipline is to provide knowledge, methods and technologies in order: - to design fuzzy logic and neuro-fuzzy based control systems to be applied in nonlinear and uncertain industrial processes - to discuss and design supervision, fault detection and diagnostics systems based on neuro-fuzzy concepts; - to evaluate the applicability of control and data analysis systems based on computational intelligence methods in engineering systems.
At the end of the course the student should be capable to: 1. critically analyze the operation of engineering systems containing subsystems based on fuzzy logic and/or neural networks, 2. Modelling and simulate a process using the simulation tool Matlab/Simulink; 3. Designing a control system based on fuzzy logic; 4. - Implement in HW and SW, subsystems based on fuzzy logic and neural networks; 5. Explain and apply the concepts of fault detection or diagnosis systems .
Introduction to intelligent systems and intelligent control. Principles of fuzzy sets and fuzzy logic. Fuzzy models and fuzzy systems. Fuzzy logic based control. Uncertainty and non linearity. Design of simple (direct) fuzzy controllers. Adaptive fuzzy controllers. Introduction to neural networks and neuro-fuzzy systems. Topologies and learning methods. Sliding Mode control. Application to control systems. Fault detection and diagnosis systems. Fuzzy logic and neuro-fuzzy based . Applications of fuzzy logic based systems and neural networks based systems. Analysis of some examples.
The theoretical classes are tutorials (2/3) and discussion of applied examples (1/3). There are also presentation of design tools in various fields of CU. The practical classes are for accompanying the execution of the simulation and experimental works.
Designation | Weight (%) |
---|---|
Exame | 50,00 |
Participação presencial | 10,00 |
Trabalho escrito | 10,00 |
Trabalho laboratorial | 30,00 |
Total: | 100,00 |
Designation | Time (hours) |
---|---|
Elaboração de projeto | 40,00 |
Elaboração de relatório/dissertação/tese | 12,00 |
Estudo autónomo | 38,00 |
Frequência das aulas | 48,00 |
Trabalho laboratorial | 24,00 |
Total: | 162,00 |
Have a minimum number of presences in the practical classes and obtain a minimum of 40% in the practical work.
The Final Classification is based on three components: 1. Resolution of problem (PR), simulation based; Homework and Class participation (HW+PC); 2. Practical work (PW), simulation or experimental based 3. Final exam (EX), without notes, with a duration of 2 hours The Final Classification is given by: FC=0.2*(PR+WH+PC)+0.3*PW+0.5*EX Note. It is required a minimum of 40% in the final exam to obtain approval.
None.
The same of the ordinary students.
Only the final exam evaluation component can be increased in the appropriate dates.