Course - Optimization and Control - TTK4135
TTK4135 - Optimization and Control
About
Examination arrangement
Examination arrangement: Portfolio assessment
Grade: Letters
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Semesterprøve | 15/100 | |||
| Arbeider | 15/100 | |||
| Skriftlig eksamen | 70/100 | 4 timer |
Course content
The course treats optimization. The candidates learn to formulate optimization problems and solve these through appropriate algorithms and software. Optimality conditions like the Karush-Kuhn-Tucker (KKT) conditions are discussed and conditions for global and local conditions are analyzed. Key optimization classes of problems including linear programming (LP), quadratic programming (QP) and nonlinear programming (NP) are studied and applied in different settings.
The course includes advanced control of dynamic systems with emphasis on Model Predictive Control (MPC).
Learning outcome
Knowledge:
- Ability to formulate appropriate engineering problems as a mathematical optimization problem.
- Knowledge of typical engineering problems which are suitable for optimization.
- Ability to analyze and solve an optimization problem; in particular linear programs (LP), quadratic programs (QP) and nonlinear programs (NP).
- Ability to analyze and design optimal controllers; in particular Model Predictive Controllers (MPC).
- Knowledge of optimization software.
Skills:
- Solve suitable optimization problems using Matlab.
- Use optimization in controllers; in particular Model Predictive Control (MPC).
- Complete a small optimization project.
- Analyze a problem and contribute to innovative design solutions.
General competence:
- Communicate technical issues with specialists in cross-disciplinary teams and the general public.
- Conscious attitude towards the use of optimization within engineering.
Learning methods and activities
The course is given as a mixture of lectures, assignments and a laboratory project. Seven of the assignments and the laboratory report must be approved to enter the final exam. Portfolio evaluation is used the final grade in the subject. Parts of the portfolio are the final exam in writing 70%, a project report 15% and a midterm test 15%. The result of each part is given in percentage units, while evaluation of the entire portfolio (the final grade) is given as a letter. If there is a re-sit examination, the examination form may change from written to oral.
Compulsory assignments
- Exercises
Recommended previous knowledge
Calculus 1, 2, 3 and 4 (TMA4100, TMA4105, TMA4115, TMA4120), TTK4105 Control Systems, TTK4115 Linear System Theory or a comparable background.
Course materials
Information on this is given at the start of the semester.
Credit reductions
| Course code | Reduction | From | To |
|---|---|---|---|
| SIE3030 | 7.5 |
Version: 1
Credits:
7.5 SP
Study level: Third-year courses, level III
Term no.: 1
Teaching semester: SPRING 2017
Language of instruction: English
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- Technological subjects
Department with academic responsibility
Department of Engineering Cybernetics
Examination
Examination arrangement: Portfolio assessment
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Spring ORD Skriftlig eksamen 70/100 2017-05-20 09:00
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Room Building Number of candidates - Spring ORD Arbeider 15/100
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Room Building Number of candidates - Spring ORD Semesterprøve 15/100
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Room Building Number of candidates - Summer KONT Arbeider 15/100
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Room Building Number of candidates - Summer KONT Semesterprøve 15/100
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Room Building Number of candidates - Summer KONT Muntlig eksamen 70/100 2017-08-10
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Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"