227-0690-12L  Advanced Topics in Control (Spring 2022)

SemesterSpring Semester 2022
LecturersF. Dörfler, M. Hudoba de Badyn, M. Mamduhi
Periodicityyearly recurring course
Language of instructionEnglish
CommentThis course offers similar content as the last time it was offered, students who were enroled in spring 2021 cannot enrol in this course.


227-0690-12 VAdvanced Topics in Control (Spring 2022)2 hrs
Mon16:15-18:00HG D 1.1 »
F. Dörfler, M. Hudoba de Badyn, M. Mamduhi
227-0690-12 UAdvanced Topics in Control (Spring 2022)2 hrs
Fri10:15-12:00HG D 1.1 »
F. Dörfler, M. Hudoba de Badyn, M. Mamduhi

Catalogue data

AbstractAdvanced Topics in Control (ATIC) covers advanced research topics in control theory. It is offered each Spring semester with the topic rotating from year to year. Repetition for credit is possible, with consent of the instructor. During the spring of 2020, the course will cover a range of topics in distributed systems control.
ObjectiveBy the end of this course you will have developed a sound and versatile toolkit to tackle a range of problems in network systems and distributed systems control. In particular, we will develop the methodological foundations of algebraic graph theory, consensus algorithms, and multi-agent systems. Building on top of these foundations we cover a range of problems in epidemic spreading over networks, swarm robotics, sensor networks, opinion dynamics, distributed optimization, and electrical network theory.
ContentDistributed control systems include large-scale physical systems, engineered multi-agent systems, as well as their interconnection in cyber-physical systems. Representative examples are electric power grids, swarm robotics, sensor networks, and epidemic spreading over networks. The challenges associated with these systems arise due to their coupled, distributed, and large-scale nature, and due to limited sensing, communication, computing, and control capabilities. This course covers algebraic graph theory, consensus algorithms, stability of network systems, distributed optimization, and applications in various domains.
Lecture notesA complete set of lecture notes and slides will be provided.
LiteratureThe course will be largely based on the following set of lecture notes co-authored by one of the instructors: http://motion.me.ucsb.edu/book-lns/
Prerequisites / NoticeSufficient mathematical maturity, in particular in linear algebra and dynamical systems.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersF. Dörfler, M. Hudoba de Badyn, M. Mamduhi
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

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Only public learning materials are listed.


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