| Code |
15269
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| Year |
1
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| Semester |
S2
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| ECTS Credits |
6
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| Workload |
PL(15H)/T(30H)/TP(15H)
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| Scientific area |
Informatics, Automation and Control
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Entry requirements |
It would be good to have attended some basic discipline on Control Systems at under-graduate level.
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Learning outcomes |
The objectives of this curricular unit are: to acquire skills in advanced topics of control systems. This includes the so called “modern control”, the description of systems in state equations, state feedback, the state estimation and even more recent topics such as intelligent control, fuzzy control and applications of neural networks. The competences to be acquired by the students are related to understanding the fundamental concepts and being able to design control systems.
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Syllabus |
- Introduction to Automatic Process Control
- Systems modeling
- Multivariable systems
- Review of Linear Algebra topics
- Solution of linear control system
- Controllability and observability
- Control of systems. Calculation of optimal control
- Observers and state estimation
- State estimators
- The asymptotic estimator
- Status feedback
- Stability
- Stabilization of a system using state feedback
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Main Bibliography |
1) Notas do Prof. Felippe de Souza disponíveis online na homepage http://webx.ubi.pt/~felippe/
“Teoria de Sistemas” Notas manuscritas, 1983
2) “Modern Control Engineering”, Katsuhiko OGATA, 3rd Edition, Prentice Hall, Inc., 1997
3) “Dynamical Systems and Automatic Control”, J. L. Martins de Carvalho, Prentice Hall International Series in Systems and Control Engineering
4) “Control Systems Engineering”, Norman S. Nise, 2nd Edition, The Benjamin / Cummings Publishing Company, Inc., 1995
5) “Apontamentos de MATLAB - Introdução ao MATLAB” & “Apontamentos de MATLAB - CONTROL SYSTEMS Toolbox”, Pedro Miguel Dinis Gaspar, António Espírito Santo & J.A.M. Felippe de Souza, Departamento de Engenharia Electromecânica, Universidade da Beira Interior. Covilhã, Abril 2002.
6) “Fuzzy Sets” Lotfi A. Zadeh, Information and Control, 8:338–353, 1965.
7) “Fuzzy Logic Systems for Engineering: a Tutorial” J. M. Mendel, Proceedings of the IEEE, 83(3):345–377, 1995.
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Teaching Methodologies and Assessment Criteria |
Students are evaluated continuously throughout the semester, both in the theoretical component (CT) and in the theoretical-practical component (CTP). The final classification (CFinal) will be: CFinal=65% (CT or Exam) + 35% CTP. The formula for calculating the final classification (CFinal) is valid for all assessment periods.
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Language |
Portuguese. Tutorial support is available in English.
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