This seminar introduces students to advanced scientific methods system theory, automatic control and optimization. The seminar is primarily delivered by an external distinguished speaker and its contents will be tailored towards doctoral and research-interested students. The detailed coverage varies every semester. In spring 2018 the seminar will concentrate on distributed computation and control.
Learning objective
The intent is to introduce students to advanced scientific methods in the areas of system theory, automatic control, and optimization. The seminar is jointly by Prof. F. Dörfler, it will be primarily delivered by an external distinguished speaker, and its contents will be tailored towards doctoral and research-interested students. The detailed coverage varies from semester to semester. During the Spring Semester 2018 the seminar will concentrate on distributed computation and control.
Content
Over the past decade there has been growing in interest in distributed control problems of all types. Among these are consensus problems including flocking and distributed averaging, the multiagent rendezvous problem, and the distributed control of multi‐agent formations. The aim of these lectures is to explain what these problems are and to discuss their solutions. Related concepts from spectral graph theory, rigid graph theory, nonhomogeneous Markov chain theory, stability theory, and linear system theory will be covered.
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course