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Adaptive and Learning Control of Robotic Manipulators

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Part of the book series: Microprocessor-Based and Intelligent Systems Engineering ((ISCA,volume 16))

Abstract

Knowledge of a system is attained through the inputs and outputs of the system. Models of the system describe its behavior by mimicking the system. Therefore, model or a set of models of the system to be learned, characterize the behavior of the system.

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© 1997 Springer Science+Business Media Dordrecht

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Ahmad, Z., Guez, A. (1997). Adaptive and Learning Control of Robotic Manipulators. In: Tzafestas, S.G. (eds) Methods and Applications of Intelligent Control. Microprocessor-Based and Intelligent Systems Engineering, vol 16. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5498-7_14

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  • DOI: https://doi.org/10.1007/978-94-011-5498-7_14

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6314-2

  • Online ISBN: 978-94-011-5498-7

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