DocumentCode :
3542789
Title :
On the Tensor Product based qLPV modeling of bio-inspired dynamic processes
Author :
Galambos, Peter ; Kuti, Jozsef ; Baranyi, Peter
Author_Institution :
Inst. for Comput. Sci. & Control, Budapest, Hungary
fYear :
2013
fDate :
19-21 June 2013
Firstpage :
79
Lastpage :
84
Abstract :
A recently published definition of Cognitive Control draws twofold sense to characterize the main point of this new scientific field. On the one hand, Cognitive Control aims to apply the results of control theory to regulate natural or artificial cognitive systems. On the other hand it points toward the modeling of cognitive processes of different levels utilizing the apparatus of the modern systems theory. This paper discusses a systematic way based on the Tensor Product (TP) model transformation of deriving the qLPV model of complex dynamic processes such as balancing that are inherent capability of every vertebrates.
Keywords :
biology; cognitive systems; modelling; tensors; artificial cognitive systems; bioinspired dynamic processes; cognitive control; cognitive processes; complex dynamic processes; control theory; modern systems theory; natural cognitive systems; tensor product based qLPV modeling; tensor product model transformation; vertebrates; Biological system modeling; Control theory; Delays; Legged locomotion; Mathematical model; Numerical models; Tensile stress; Cognitive Control; TP model transformation; balancing; inverted pendulum; qLPV modeling; tightrope walking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Engineering Systems (INES), 2013 IEEE 17th International Conference on
Conference_Location :
San Jose
Print_ISBN :
978-1-4799-0828-8
Type :
conf
DOI :
10.1109/INES.2013.6632787
Filename :
6632787
Link To Document :
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