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# 376.065 Advanced Methods in Nonlinear Control This course is in all assigned curricula part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_21",{id:"j_id_21",showEffect:"fade",hideEffect:"fade",target:"isAllSteop"});});This course is in at least 1 assigned curriculum part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_23",{id:"j_id_23",showEffect:"fade",hideEffect:"fade",target:"isAnySteop"});}); 2023W 2022W 2021W 2020W 2019W 2018W 2017W 2016W 2015W 2014W 2013W

2022W, VU, 3.0h, 4.5EC

## Properties

• Semester hours: 3.0
• Credits: 4.5
• Type: VU Lecture and Exercise
• Format: Presence

## Learning outcomes

After successful completion of the course, students are able to identify, understand, analyze, and solve complex nonlinear control problems. They especially know about the theories, the mathematically principles and advanced control- and observer-design methods, which are required to solve these problems. Consequently, successful completion of this course enables students to select and apply solution methods appropriate for the respective control task. This course strengthens and deepens engineering approaches, abstract and analytical thinking, independent solution of practical control problems, as well as mathematical skills.

## Subject of course

• iterative learning control
• model predictive control
• moving horizon estimation
• path following control
• dissipativity and passivity

## Teaching methods

The contents of this lecture are elaborated and discussed based on lecture notes (document freely available). The material is presented on the blackboard and with slides. To deepen, reinforce, and practically apply the material, example problems are discussed and mathematically solved. The software Matlab/Simulink is used for computer-aided control design.

Oral

# Current information on the teaching mode in the winter semester 2022/2023

This course is scheduled to be held in presence as long as the current situation and/or legal circumstances allow.  Should it be necessary to switch to distance learning, we will switch to online-meetings via ZOOM. Further details will be communicated via TISS messages, which require a course registration. The first lecture (including a preview on the organization of the course) starts on 6.10.2022 at 15:00.

## Course dates

DayTimeDateLocationDescription
Thu15:00 - 18:0006.10.2022 - 26.01.2023 Besprechungsraum CA0532Lecture
Thu15:00 - 18:0006.10.2022Computerlabor E376, CA0426 Lecture
Advanced Methods in Nonlinear Control - Single appointments
DayDateTimeLocationDescription
Thu06.10.202215:00 - 18:00 Besprechungsraum CA0532Lecture
Thu06.10.202215:00 - 18:00Computerlabor E376, CA0426 Lecture
Thu13.10.202215:00 - 18:00 Besprechungsraum CA0532Lecture
Thu20.10.202215:00 - 18:00 Besprechungsraum CA0532Lecture
Thu27.10.202215:00 - 18:00 Besprechungsraum CA0532Lecture
Thu03.11.202215:00 - 18:00 Besprechungsraum CA0532Lecture
Thu10.11.202215:00 - 18:00 Besprechungsraum CA0532Lecture
Thu17.11.202215:00 - 18:00 Besprechungsraum CA0532Lecture
Thu24.11.202215:00 - 18:00 Besprechungsraum CA0532Lecture
Thu01.12.202215:00 - 18:00 Besprechungsraum CA0532Lecture
Thu15.12.202215:00 - 18:00 Besprechungsraum CA0532Lecture
Thu22.12.202215:00 - 18:00 Besprechungsraum CA0532Lecture
Thu12.01.202315:00 - 18:00 Besprechungsraum CA0532Lecture
Thu19.01.202315:00 - 18:00 Besprechungsraum CA0532Lecture
Thu26.01.202315:00 - 18:00 Besprechungsraum CA0532Lecture

## Examination modalities

The exam is oral and covers all contents of the course.

## Course registration

Begin End Deregistration end
26.09.2022 08:00 04.02.2023 23:59 04.02.2023 23:59

## Curricula

Study CodeObligationSemesterPrecon.Info
066 506 Energy Systems and Automation Technology Not specified
066 507 Telecommunications Not specified
066 515 Automation and Robotic Systems Mandatory elective
066 938 Computer Engineering Mandatory elective

## Literature

Lecture notes (in German) are available here.

German