A deadbeat trajectory controller for nonlinear systems via neural netnorks a robot case study

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Abstract

In this study, a method for trajectory control of nonlinear systems is presented. Nonlinear feedback is used in order to obtain a linear model, and the nonlinearities and uncertainties remained are modelled by a multilayer neural network. The tracking error between the nonlinear system output and a desired trajectory is tried to be vanished by a deadbeat controller. The algorithm is applied to the trajectory control of a robot arm.

Original languageEnglish
Title of host publicationISIE 1993 - Budapest
Subtitle of host publicationIEEE International Symposium on Industrial Electronics, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages549-553
Number of pages5
ISBN (Electronic)0780312279
DOIs
Publication statusPublished - 1993
Event1993 IEEE International Symposium on Industrial Electronics, ISIE 1993 - Budapest, Hungary
Duration: 1 Jun 19933 Jun 1993

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

Conference1993 IEEE International Symposium on Industrial Electronics, ISIE 1993
Country/TerritoryHungary
CityBudapest
Period1/06/933/06/93

Bibliographical note

Publisher Copyright:
© 1993 IEEE.

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