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Advanced Control

Code 11221
Year 1
Semester S2
ECTS Credits 6
Workload OT(15H)/PL(15H)/T(30H)/TP(15H)
Scientific area Informatics, Automation and Control
Entry requirements It would be good to have attended some basic discipline on Control Systems at under-graduate level.
Mode of delivery Face-to-face
Work placements N/A.
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, a 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.
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 Intelligent Control: Fuzzy Logics, Fuzzy Control and Genetic Algorithms Notions of Neural Network and applications in Control Systems
Main Bibliography 1) Notas do Prof. Felippe de Souza disponíveis online na homepage “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.
Teaching Methodologies and Assessment Criteria To be approved without Exam: FINAL MARK = F(70%) + AC(15%) + P(15%) where: F [main test](70%) = written test to be held on June 1, 2020 at 4pm in Room 9/04 AC [continuous evaluation](15%) = ‘assiduity’, ‘punctuality’, ‘participation’ and ‘attitude’ of the student in the classroom, including possible homeworks and eventual "Tests" [The minimum AC score is 1.0] Attention: Student workers are not exempt from this AC Continuous Evaluation. They should contact the lecturer at the beginning of the semester to make arrangements for periodic “Tests” at an appropriate time P [practical work](15%) = performance in practical work [The minimum P score is 1.0] Attention: Evaluations AC and P have minimums to be achieved For those taking the exam: FINAL MARK = Exam + AC + P This applies to the Normal or Appeal Exams and is only for ADMITTED students! Therefore, the AC mark and the P mark also enter into the calculation of the Final Mark of those who go to the Exam (Normal and/or Appeal)
Language Portuguese. Tutorial support is available in English.
Last updated on: 2020-03-11

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