On the Tensor Product based qLPV modeling of bio-inspired dynamic processes

Peter Galambos, Jozsef Kuti, P. Baranyi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationINES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings
Pages79-84
Number of pages6
DOIs
Publication statusPublished - 2013
Event17th IEEE International Conference on Intelligent Engineering Systems, INES 2013 - San Jose, Costa Rica
Duration: Jun 19 2013Jun 21 2013

Other

Other17th IEEE International Conference on Intelligent Engineering Systems, INES 2013
CountryCosta Rica
CitySan Jose
Period6/19/136/21/13

Fingerprint

Tensors
Cognitive systems
System theory
Control theory

Keywords

  • balancing
  • Cognitive Control
  • inverted pendulum
  • qLPV modeling
  • tightrope walking
  • TP model transformation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Galambos, P., Kuti, J., & Baranyi, P. (2013). On the Tensor Product based qLPV modeling of bio-inspired dynamic processes. In INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings (pp. 79-84). [6632787] https://doi.org/10.1109/INES.2013.6632787

On the Tensor Product based qLPV modeling of bio-inspired dynamic processes. / Galambos, Peter; Kuti, Jozsef; Baranyi, P.

INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings. 2013. p. 79-84 6632787.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Galambos, P, Kuti, J & Baranyi, P 2013, On the Tensor Product based qLPV modeling of bio-inspired dynamic processes. in INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings., 6632787, pp. 79-84, 17th IEEE International Conference on Intelligent Engineering Systems, INES 2013, San Jose, Costa Rica, 6/19/13. https://doi.org/10.1109/INES.2013.6632787
Galambos P, Kuti J, Baranyi P. On the Tensor Product based qLPV modeling of bio-inspired dynamic processes. In INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings. 2013. p. 79-84. 6632787 https://doi.org/10.1109/INES.2013.6632787
Galambos, Peter ; Kuti, Jozsef ; Baranyi, P. / On the Tensor Product based qLPV modeling of bio-inspired dynamic processes. INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings. 2013. pp. 79-84
@inproceedings{3992d70ca326492a98d119d95b0b600d,
title = "On the Tensor Product based qLPV modeling of bio-inspired dynamic processes",
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 = "balancing, Cognitive Control, inverted pendulum, qLPV modeling, tightrope walking, TP model transformation",
author = "Peter Galambos and Jozsef Kuti and P. Baranyi",
year = "2013",
doi = "10.1109/INES.2013.6632787",
language = "English",
isbn = "9781479908288",
pages = "79--84",
booktitle = "INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings",

}

TY - GEN

T1 - On the Tensor Product based qLPV modeling of bio-inspired dynamic processes

AU - Galambos, Peter

AU - Kuti, Jozsef

AU - Baranyi, P.

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - balancing

KW - Cognitive Control

KW - inverted pendulum

KW - qLPV modeling

KW - tightrope walking

KW - TP model transformation

UR - http://www.scopus.com/inward/record.url?scp=84889672988&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84889672988&partnerID=8YFLogxK

U2 - 10.1109/INES.2013.6632787

DO - 10.1109/INES.2013.6632787

M3 - Conference contribution

AN - SCOPUS:84889672988

SN - 9781479908288

SP - 79

EP - 84

BT - INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings

ER -