Szczegóły publikacji

Opis bibliograficzny

Neural network control of nonlinear objects / Agata NAWROCKA, Marcin NAWROCKI, Andrzej KOT // W: ICCC 2016 [Dokument elektroniczny] : 17th International Carpathian Control Conference : Tatranská Lomnica, Slovak Republic, May 29–June 1, 2016 / eds. Ivo Petráš, Igor Podlubny, Ján Kačur. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2016. — Dysk Flash. — e-ISBN: 978-1-4673-8606-7. — S. 517–522. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 521–522, Abstr.

Autorzy (3)

Słowa kluczowe

adaptive controlmathematical modelartificial neural networksrehabilitation robot manipulatornon linear object

Dane bibliometryczne

ID BaDAP101149
Data dodania do BaDAP2016-10-15
DOI10.1109/CarpathianCC.2016.7501152
Rok publikacji2016
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
KonferencjaInternational Carpathian Control Conference 2016

Abstract

The subject of the conducted research was to develop an advanced algorithm for controlling a rehabilitation manipulator. The concept is a difficult one considering the tasks given to such systems. Seeing as the manipulator is a prototype devised for rehabilitation purposes, the correct functioning of the control system is required for varying load of the robot arm, that is it has been assumed that the manipulator will be used for people with various physical build and a varying degree of physical limitations. Due to the nonlinear character of the object, serious difficulty arises when it comes to devising a satisfactory control system based on traditional solutions. The above-mentioned problems suggest employing adaptive control. In the present case, the concept was extended by using artificial neural networks in the adaptive system of parameters of the manipulator's mathematical model. In the end a system of controllers was arrived at, which thanks to the features of artificial neural networks, and in particular thanks to the possibility of approximating nonlinear functions, carries out the set trajectory in a correct way. The paper contains the numerical solution of the presented problem.

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#122169Data dodania: 9.7.2019
Neural network control for robot manipulator / Agata NAWROCKA, Marcin NAWROCKI, Andrzej KOT // W: ICCC 2019 [Dokument elektroniczny] : proceedings of the 2019 20th International Carpathian Control Conference : Kraków – Wieliczka, May 26–29, 2019 / eds. Andrzej Kot, Agata Nawrocka. — Wersja do Windows. — Dane tekstowe. — [Piscataway : IEEE], cop. 2019. — Dysk Flash. — e-ISBN: 978-1-7281-0701-1. — S. [1–4]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [4], Abstr. — Publikacja dostępna online od: 2019-07-18. — W bazie Web of Science zakres stron: 799–802
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#90773Data dodania: 5.8.2015
Type-2 fuzzy logic controller for nonlinear object control / Agata NAWROCKA, Marcin NAWROCKI, Andrzej KOT // W: ICCC 2015 [Dokument elektroniczny] : proceedings of the 16th International Carpathian Control Conference : Szilvásvárad, Hungary, May 27–30, 2015 / eds. Ivo Petráš [et al.]. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2015. — 1 dysk optyczny. — Dod. ISBN 978-4799-7370-5. — e-ISBN: 978-1-4799-7369-9. — S. 334–337. — Wymagania systemowe: Adobe Reder ; napęd CD-ROM. — Bibliogr. s. 337, Abstr.