A new addition to the Department of Control and Cybernetics and Robotics is Croatian Kristian Hengster-Movric, who earned a doctorate (PhD) from the University of Texas, Arlington, USA, under the renowned Professor Frank Lewis. For his dissertation he won the N.M. Stelmakh Prize. He came to Prague as a postdoc under Professor Michael Sebek (programme sponsor at KyR), and two years later became an assistant. Christian taught courses in Texas and gave individual lectures in California. On the Cybernetics and Robotics programme he will teach Network Dynamics and Control.
At the department of Control Engineering he became a member of the AA4CC group headed by Dr. Zdenek Hurák. He is a specialist advisor of two doctoral students: Slovak, Ing. Stepan Knotek, and Mgr. Xueji Zhang, from China, who is a joint PhD student of the Department of Control and the Belgian branch of Siemens Industrial Software as part of the EU programme, the European Industrial Doctorate. He has also done very successful scientific work in the field of network management theory and multi-agent systems, in which he works mainly with prof. Michael Sebek. His best results so far are the original method of synchronization and optimal management of networks and multi-agent systems. He is the main author of several articles in the world's top scientific journals, such as:
Hengster-Movric K, Keyou You, Lewis FL, Xie Lihua: Synchronization of discrete-time multi-agent systems on graphs using Riccati design, Automatica, Feb 2013, vol. 49, no. 2, pp. 414-423.
Hengster-Movric K, Lewis FL: Cooperative Optimal Control for Multi-agent Systems on Directed Graph Topologies. IEEE Transactions on Automatic Control, 2013.
Hengster-Movric K, Lewis FL, Sebek M: Distributed Static Output-feedback Control for State Synchronization in Networks of Identical LTI Systems, Automatica, vol. 53, 282–290, 2015.
To illustrate, below are a few pages from Kristian’s last article
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and a book cover
F. L. Lewis, H. Zhang, K. Hengster-Movric, A. Das, Cooperative Control of Multi-Agent Systems: Optimal Design and Adaptive Control, Springer, February 2014.
