On synchronization of heterogeneous multi-agent systems
Dip-Ing. Jingbo Wu (PhD studentInstitute for Systems Theory and Automatic Control, University of Stuttgart)
SYSTEMS AND CONTROL SERIESDATE: 2012-08-31
TIME: 11:00:00 - 12:00:00
LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU
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ABSTRACT:
Distributed control and coordination in groups of dynamical systems has evolved to one of the major areas of modern control theory and application. In this field, studies on heterogeneous systems play an important role, as in a group of physical systems, there will be hardly two individuals that are exactly identical. Systems may be structurally different, e.g., due to different types of actuators, or they may have different parameter values like friction or damping coefficients. Despite this fact, synchronization and consensus can be achieved in many cases. Therefore, we ask which requirements the individual dynamic systems of a group must fulfill in order to be able to synchronize in a meaningful way. An internal model principle for synchronization has been derived in prior studies. It relates the problem of output synchronization to the theory of output regulation. Based on the internal model principle for synchronization, we develop controller design methods for different classes of multi-agent systems. In this talk, the emphasis is on the distinction between two cases: In the first case, the individual agents are able to obtain absolute information through individual measurement. In the second case, information is obtained through a relative sensing network. Depending on which case is considered, a synchronizing controller needs to be designed in a significantly different way.
BIO:
Jingbo Wu studied Engineering Cybernetics at the University of Stuttgart and received his degree in 2010. During his studies, he spent one year as a visiting scholar at the University of Toronto. Since 2011, he has been a PhD student of Prof. Frank AllgAwer. His research interests lie in the field of distributed and cooperative control, with focus on consensus and synchronization problems of multi-agent systems.
