Grantová agentura České republiky - Standardní projekty

- plně financující (2003-10-27 - nezadáno)

GD102/03/H116

čeština

Vavřín Petr, prof. Ing., DrSc. - hlavní řešitel

Ústav automatizace a měřicí techniky
- příjemce (27.10.2003 - nezadáno)

VELEBA, V. Neural network in adaptive control. In Proceedings of the second international conference on soft computing aplied in computer and economic environments. Kunovice: Evropský polytechnický institut, 2004. p. 125 ( p.)ISBN: 80-7314-025-X.
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POLANSKÝ, M. Moderní principy fuzzy modelování nelineárních soustav. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2004, roč. 2004, č. 33, s. 1 ( s.)ISSN: 1213-1539.
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VELEBA, V. ADAPTIVE CONTROL OF HOT-AIR LABORATORY MODEL USING ARTIFICIAL NEURAL NETWORKS. In Proceedings of 10th Conference Student EEICT 2004. Brno: Ing. Zdeněk Novotný CSc., 2004. p. 407 ( p.)ISBN: 80-214-2636-5.
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PIVOŇKA, P., VELEBA, V. Simple Neural Network-Based Adaptive Controller for Heating System. In Proceedings East West Fuzzy Colloquium 2004. Zittau, Germany: Rektor der Hochschule Zitttau/Görlitz, 2004. p. 163 ( p.)ISBN: 3-9808089-5-5.
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HROUZEK, M. Simulation of the cantilever used as a weak force sensor in Atomic Force Microscopy. In ELECTRONIC DEVICES AND SYSTEMS 04 - PROCEEDINGS. 1. Brno: VUT v Brně, Antonínská 548/1, 2004. p. 1 ( p.)ISBN: 80-214-2701-9.
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VELEBA, V., PIVOŇKA, P. Using Neural Networks For Adaptive Control of Thermal Process. In Annals of DAAAM for 2004 & Proceedings. Vienna, Austria: DAAAM International Vienna, 2004. p. 471 ( p.)ISBN: 3-901509-42-9.
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HROUZEK, M. Model of the cantilever used in Atomic Force Microscopy. In Journées Nanosciences Nanotechnologies en Rhône-Alpes 2004. Grenoble: CNRS, CEA, 2004. p. 82 ( p.)
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Václav Veleba. Advantages of Identification Based on Neural Network Approach. In Advantages of Identification Based on Neural Network Approach. Ing. Zdeněk Novotný Csc., Ondráčkova 105, Brno, 2005. p. 76 ( p.)
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Michal Polanský. QUALITY IMPROVEMENT OF OBSERVER BASED ROBUST FUZZY CONTROL. In Proc.of Int. Conf. CEEPUS Summer School, Intelligent Control Systems. 2005. p. 1 ( p.)ISBN: 80-214-2976-3.
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VELEBA, V.; PIVOŇKA, P. Increasing the Adaptivity of a Self-Tuning PID Controller by Using Neural Network Based Identification. In 12th Zittau East-West Fuzzy Colloquium. Zittau: R. Hampel, 2005. p. 169 ( p.)ISBN: 3-9808089-6-3.
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VAŠINA, M., ŠOLC, F. MODELING AND CONTROL OF NONLINEARITIES HYSTERESIS TYPE. In Proceedengs of the 11th Conference and Competition STUDENT EEICT 2005 Volume 2. Brno: FEKT VUT BRNO, 2005. p. 71 ( p.)ISBN: 80-214-2889-9.
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VASINA, M., KOPECNY, L., SOLC, F. MCKIBBEN'S PNEUMATIC MUSCLE CONTROLED BY SMA ACTUATED VALVE. In Engineering Mechanics. Inženýrská mechanika - Engineering Mechanics. FSI VUT BRNO, 2005. p. 243 ( p.)ISSN: 1210-2717.
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Nepevný, P., Pivoňka, P. Hot-Air Tunel Control Using Multi-Dimensional Predictive Controller Based on Neural Network Model. In Anals of DAAAM for 2006 & Proceedings. Vídeň: DAAAM International Vienna, 2006. p. 267 ( p.)ISBN: 3-901509-57-7.
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PIVOŇKA, P., VELEBA, V. Application of Neural Networks for Hot-Air System Control. WSEAS Transactions on Systems, 2004, vol. 3, no. 2, p. 757 ( p.)ISSN: 1109-2777.
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VELEBA, V. Application of Neural Networks for Hot-Air System Control. In Proceedings of the WSEAS International Conferences NNA'04. Udine, Itálie: WSEAS, 2004. p. 1 ( p.)ISBN: 960-8052-96-3.
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