Department of Engineering
Dean:Dr. Ármann Gylfason
Email:ru@ru.is
Website:http://www.ru.is/tvd
TeachersView
MSc in Biomedical Engineering
Semesters:4
Years:2
ETCS:120
About majorÍ heilbrigðisverkfræði er verkfræðilegum aðferðum beitt til að fást við líffræðileg og læknisfræðileg viðfangsefni, s.s. uppgötvun og þróun nýrrar tækni og aðferða við greiningu og meðferð sjúkdóma. Hér sameinast ólíkar greinar eins og stærðfræði og eðlisfræði við sameindalíffræði og lífeðlisfræði í leit að lausnum heilsufarslegra viðfangsefna. MSc námið er mótað að kröfum Verkfræðingafélags Íslands um fullnaðarmenntun í verkfræði.
Learning OutcomesView
Education cycle2
Degree titleMSc in Biomedical Engineering
Legend
Mandatory course on majorTeaching language
Optional course on majorPrerequisites for course
Print
Vorönn/Spring 2024
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More infoSleepElectiveT-424-SLEEECTS 6
More infoDecision Analysis for ManagementElectiveT-603-AKVAECTS 6
More infoInternship in Engineering IElectiveT-706-INT1ECTS 6
More infoInternship in Engineering IIElectiveT-706-INT2ECTS 6
More infoSystems BiologyElectiveT-765-SYBIECTS 8
More infoProject Management and Strategic PlanningElectiveT-803-VERKECTS 8
More infoDerivatives and risk managementElectiveT-814-DERIECTS 8
More infoCreating a Complete Business Plan for a Technical Idea - Entrepreneurship and the Innovation ProcessElectiveT-814-INNOECTS 8
More infoTissue Engineering and BiomaterialsElectiveT-828-TISSECTS 8
More infoGraduate Research Opportunities IElectiveT-829-GRO1ECTS 6
More infoFinite Element Analysis in EngineeringElectiveT-844-FEMMECTS 8
More infoDigital Transformation of Medical ImagingElectiveT-845-DTMIECTS 6
More infoNeural EngineeringElectiveT-863-NEURECTS 8
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More infoStability and Control in Electric Power SystemsElectiveT-867-STABECTS 8
More infoProtection Philosophy for Smart-GridsElectiveT-868-PROTECTS 8
More infoMSc ThesisCoreT-899-MEISECTS 30
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More infoMSc thesis IIElectiveT-901-MEI2ECTS 30
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Sumar/Summer 2024
More infoGraduate Research Opportunities IElectiveT-829-GRO1ECTS 6
More infoExchange StudiesElectiveX-699-EXCHECTS 30
Haustönn/Fall 2024
More infoEnergy EconomicsElectiveSE-805-EC1ECTS 6
More infoSpecial Topics in Energy IIIElectiveSE-806-STEECTS 6
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More infoData Mining and Machine LearningCoreT-809-DATAECTS 8
More infoOptimization MethodsElectiveT-810-OPTIECTS 8
More infoApplied ProbabilityElectiveT-811-PROBECTS 8
More infoFinancial Engineering of the FirmElectiveT-814-FINAECTS 8
More infoManaging Research and Development - Methods and ModelsElectiveT-814-PRODECTS 8
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More infoMedical Modelling and ImagingCoreT-862-IMAGECTS 8
More infoNeuro Science and TechnologyElectiveT-862-NEURECTS 8
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More infoNumerical fluid flow and heat transferElectiveT-864-NUFFECTS 8
More infoPrecision Machine DesignElectiveT-865-MADEECTS 8
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More infoMSc ThesisElectiveT-900-MEISECTS 30
More infoMSc thesis IIElectiveT-901-MEI2ECTS 30
More infoExchange StudiesElectiveX-699-EXCHECTS 30
Vorönn/Spring 2025
More infoSleepElectiveT-424-SLEEECTS 6
More infoDecision Analysis for ManagementElectiveT-603-AKVAECTS 6
More infoInternship in Engineering IElectiveT-706-INT1ECTS 6
More infoInternship in Engineering IIElectiveT-706-INT2ECTS 6
More infoRobust and Adaptive Control, with Aerospace ApplicationElectiveT-738-CONTECTS 8
Year
1. yearPrint
SemesterSpring 2025
Level of courseFirst cycle - Advanced / Second cycle - Introductory
Type of courseElective
PrerequisitesT-501-REGL, Feedback Control Systems
ScheduleTaught for 12 weeks.
Lecturer
No lecturer found.
Content
Level of course: 3. Undergraduate (First cycle), advanced / 4. Graduate (Second cycle), introductory.
Type of course: Elective.  Recommended elective in mechatronics engineering, electric power engineering.
Prerequisites (mandatory):  Feedback Control Systems (T-501-REGL).This course covers theoretical development and practical applications of formal methods in robust and optimal linear control, robust stability analysis, Lyapunov stability theory, and model reference adaptive control (MRAC). Throughout the course, case studies are presented to illustrate key design steps and the benefits of applying robust and adaptive control methodologies to aircraft design. Initially, general aviation background is also discussed.Reading material:  Lavretsky & Wise, Robust and Adaptive Control with Aerospace Applications, Springer 2013.
Learning outcome - Objectives
Having completed this course, you should be familiar with the equations of motion describing aircraft flight dynamics, be able to explain them using your own word, and to simplify them in order to make them suitable for control design. Moreover, you should be able to identify whether a system is suitable for the application of the presented methods and to apply them. They are
  • command tracking using linear quadratic regulators (LQR),
  • projective control,
  • linear quadratic Gaussian control with loop transfer recovery (LQG/LTR),
  • and MRAC.
Finally, you should be able to explain and apply Lyapunov stability theory to the analysis of nonlinear systems.
Course assessment

Reading material
No reading material found.
Teaching and learning activities

Language of instructionEnglish
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