Emerging Application Areas in Control Theory
Dr Bela Takarics (Computer and Automation Research Institute Hungarian Academy of Sciences )
COMPUTER SCIENCE SEMINARDATE: 2013-05-02
TIME: 13:00:00 - 14:00:00
LOCATION: CSIT Seminar Room, N101
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ABSTRACT:
a) Automatic, generalized control frameworks The tensor product (TP) model transformation transforms a function (which can be given via closed formulas or neural networks, fuzzy logic, etc.) into TP function form if such a transformation is possible. If an exact transformation is not possible, then the method determines a TP function that is an approximation of the given function. Hence, the TP model transformation can provide a trade-off between approximation accuracy and complexity A key underpinning of the transformation is the higher-order singular value decomposition. Besides being a transformation of functions, the TP model transformation is also a new concept in qLPV based control which plays a central role in the providing a valuable means of bridging between identification and polytopic systems theories. The TP model transformation is uniquely effective in manipulating the convex hull of polytopic forms, and, as a result has revealed and proved the fact that convex hull manipulation is a necessary and crucial step in achieving optimal solutions and decreasing conservativeness in modern LMI based control theory. Thus, although it is a transformation in a mathematical sense, it has established a conceptually new direction in control theory and has laid the ground for further new approaches towards optimality. b) Cognitive control theory within CogInfoCom Cognitive control theory (CoCo) is an interdisciplinary branch of engineering, mathematics, informatics, control theory and the cognitive/social sciences. CoCo deals with the dynamics of individual and/or collective cognitive phenomena. The theories and methodologies of CoCo give control theoretical interpretations of such dynamics in order to explain and control cognitive phenomena, as well as to apply them in system control design, without necessarily distinguishing between biological and artificial aspects. c) Virtual Collaboration The VirCA (Virtual Collaboration Arena) platform was developed with the leading support of MTA SZTAKI. From a global perspective, VirCA is the first platform capable of integrating knowledge components (e.g., speech centers, image processing capabilities, controller modules, etc.) already implemented in laboratories around the world with both real objects (e.g., robots, airplanes etc.) and virtual objects. VirCA achieves this through an innovation store (available through the Internet to all VirCA instances) that is capable of storing existing components, in order to promote fast knowledge transfer for research, development and innovation. Further, VirCA enables researchers who are not necessarily in the same location, or even on the same continent to design, develop and integrate solutions together in a common virtual space. In summary, VirCA is a pilot solution which highlights one possible aspect of the EU trend of Future Internet, and as such provides very effective means of collaborative R&D in a single virtual space. The arguably novel philosophy behind the platform was recognized through an award received at the FET'11 international forum. http://virca.hu
References
1.http://virca.hu/
BIO:
