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2021W, VO, 2.0h, 3.0EC

## Properties

• Semester hours: 2.0
• Credits: 3.0
• Type: VO Lecture
• Format: Online

## Learning outcomes

After successful completion of the course, students are able to:

• identify dynamic systems by means of no-parametric and parametric identification methods.
• design optimal state observers (Kalman filter, extended Kalman filter, unscented Kalman filter).
• design optimal linear state controllers (LQR).
• understand and reproduce the mathematical methods required for the design of optimal state observers and controllers.

## Subject of course

non-parametric identification methods (transient response analysis, fourier analysis ETFE), basics of stochastics, parametric identification methods (least squares with and without stochastic perturbation), model structures for identification (ARMA, ARX, ARMAX), Recursive Least Squares (RLS) method, Least Mean Squares (LMS) concept, weighted least squares method, optimal estimation (Gauß-Markov estimation, Minimum-Variance estimation), optimal observer (Kalman-Filter), dynamic programming due to Bellman, Linear Quadratic Regulator (LQR) problem with finite and infinite time horizon, optimal output regulator (Linear Quadratic Gaussian (LQG) problem), separation principle for the optimal controller and observer design, advanced concepts of state-space control (feedforward of the estimated perturbation, state-space controller with integral part, servoproblem)

## Teaching methods

lecture, solution of examples during the lecture, independent solution of examples of the lecture notes by the students

## Mode of examination

Oral

The lecture will be held in the form of an online lecture in TUWEL (ZOOM) in German.The first lecture will take place at 7.10.2021, 8:30. Please note that a registration in the course is necessary in order to access the TUWEL (ZOOM) course.

## Course dates

DayTimeDateLocationDescription
Thu08:30 - 10:3007.10.2021 - 27.01.2022 Online (LIVE)KEMMETMÜLLER
Control systems 1 - Single appointments
DayDateTimeLocationDescription
Thu07.10.202108:30 - 10:30 OnlineKEMMETMÜLLER
Thu14.10.202108:30 - 10:30 OnlineKEMMETMÜLLER
Thu21.10.202108:30 - 10:30 OnlineKEMMETMÜLLER
Thu28.10.202108:30 - 10:30 OnlineKEMMETMÜLLER
Thu04.11.202108:30 - 10:30 OnlineKEMMETMÜLLER
Thu11.11.202108:30 - 10:30 OnlineKEMMETMÜLLER
Thu18.11.202108:30 - 10:30 OnlineKEMMETMÜLLER
Thu25.11.202108:30 - 10:30 OnlineKEMMETMÜLLER
Thu02.12.202108:30 - 10:30 OnlineKEMMETMÜLLER
Thu09.12.202108:30 - 10:30 OnlineKEMMETMÜLLER
Thu16.12.202108:30 - 10:30 OnlineKEMMETMÜLLER
Thu13.01.202208:30 - 10:30 OnlineKEMMETMÜLLER
Thu20.01.202208:30 - 10:30 OnlineKEMMETMÜLLER
Thu27.01.202208:30 - 10:30 OnlineKEMMETMÜLLER

## Examination modalities

oral exam (online)

## Course registration

Begin End Deregistration end
31.08.2021 08:00 15.11.2021 00:00

### Registration modalities

The registration via TISS is required for the access to the TUWEL course (ZOOM-meeting).

## Curricula

Study CodeObligationSemesterPrecon.Info
066 504 Master programme Embedded Systems Not specified1. Semester
066 506 Energy Systems and Automation Technology Not specified1. Semester
066 507 Telecommunications Not specified1. Semester
066 938 Computer Engineering Mandatory elective
860 GW Optional Courses - Technical Mathematics Not specified

## Literature

Lecture Notes (in German) are available on the homepage of the institute. The link will be sent to the registered participants via News information.

## Previous knowledge

This course is based on the concepts taught in VU Automatisierung. Furthermore, basic knowledge in linear algebra and stochastics is strongly recommended.

German