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Books on the topic 'Root modelling'

Author: Grafiati
Published: 22 February 2025

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1

Leybourne, Stephen J. Randomized unit root processes for modelling and forecasting financial time series: Theory and applications. Loughborough: Loughborough University of Technology, Department of Economics, 1995.

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2

L, Ahuja, ed. Root zone water quality model: Modelling management effects on water quality and crop production. Highlands Ranch, Colo: Water Resources Publications, 2000.

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3

Sciavicco, Lorenzo, and Bruno Siciliano. Modelling and Control of Robot Manipulators. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0449-0.

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4

Ghafil, Hazim Nasir, and Károly Jármai. Optimization for Robot Modelling with MATLAB. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40410-9.

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5

Megahed, Saïd M. Principles of robot modelling and simulation. Chichester: Wiley, 1993.

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6

Megahed, Saïd M. Principles of robot modelling and simulation. Chichester: J. Wiley, 1993.

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7

1959-, Siciliano Bruno, ed. Modelling and control of robot manipulators. London: Springer, 2000.

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8

Nehmzow, Ulrich. Robot behaviour: Design, description, analysis and modelling. London: Springer, 2009.

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9

1933-, Ho C. Y., ed. Robot modelling: Control and applications with software. Kempston, Bedford, England: IFS (Publications), 1985.

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10

Nehmzow, Ulrich. Robot behaviour: Design, description, analysis and modelling. London: Springer, 2009.

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11

Nehmzow, Ulrich. Robot behaviour: Design, description, analysis and modelling. London: Springer, 2009.

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12

Clocksin, William F. Computational Modelling of Robot Personhood and Relationality. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-44159-2.

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13

Institution of Engineering and Technology and Knovel (Firm), eds. Flexible robot manipulators: Modelling, simulation and control. London: Institution of Engineering and Technology, 2008.

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14

Steenman, G. J. J. Modelling and simulation of a manipulator joint. Amsterdam: National Aeronautical Laboratories, 1987.

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15

Prins, J. J. M. Flexible space-based robot modelling and real-time simulation. Amsterdam: National Aerospace Laboratory, 1989.

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16

Horst, Bunke, Kanade Takeo, and Noltemeier Hartmut, eds. Modelling and planning for sensor based intelligent robot systems. Singapore: World Scientific, 1995.

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17

Kruise, Inus. Modelling and control of a flexible beam and robot arm. Eschende: Universiteit Twente, 1990.

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18

Morris, A. S. Static and dynamic modelling of a two-flexible-link robot manipulator. Sheffield: University, Dept. of Control Engineering, 1995.

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19

P. Th. L. M. van Woerkom. Equivalent flexibility modelling for the recursive simulation of robot manipulator dynamics. Amsterdam: National Aerospace Laboratory, 1989.

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20

Sallinen, Mikko. Modelling and estimation of spatial relationships in sensor-based robot workcells. Espoo [Finland]: VTT Technical Research Centre of Finland, 2003.

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21

Morris, A. S. Inclusion of shear deformation term to improve accuracy in flexible-link robot modelling. Sheffield: University, Dept. of Control Engineering, 1995.

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22

Mills, T. C. Modelling changing trend rates of output growth: Unit roots, segmented trends and common features. Hull: University of Hull. Department of Economics, 1994.

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23

Morris, A. S. Multi-mode modelling of a flexible link robot manipulator by A.S. Morris and A. Madani. Sheffield: University, Dept. of Control Engineering, 1995.

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24

Spanos, Aris. On the statistical implications of modelling the error term: Common factors, Granger-causality and unit roots. London: Birkbeck College, Dept. of Economics, 1987.

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25

Tak-Chee, Chan, Atomic Energy of Canada Limited., and Whiteshell Laboratories, eds. Finite-element modelling of geomechanical and hydraulic responses to the Room 209 heading extension excavation response experiment II: Post-excavation alaysis of experimental results. Pinawa, Man: AECL, Whiteshell Laboratories, 1993.

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26

Johannes C. J. M. Derks. A small graphic package for roof modelling as a study for the implementation of an interactive graphic system with human-computer interface using the personal computer: A dissertation submitted in partial fulfilment of the Master of Arts degree, Computing in Design. [London]: Middlesex Polytechnic, 1990.

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27

Ahuja, Lajpat, K. W. Rojas, J. D. Hanson, M. J. Shaffer, and L. Ma. Root Zone Quality Model: Modelling Management Effects on Water Quality & Crop Production & Computer Program. Water Resources Pubns, 2000.

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28

Ionescu, Florin, and Theodor Borangiu. Robot Modelling & Simulation. Editura Academiei Romane, 2002.

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29

Zomaya, Albert Y. Modelling and Simulation of Robot Manipulators. WORLD SCIENTIFIC, 1993. http://dx.doi.org/10.1142/1722.

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30

Modelling and Control of Robot Manipulators. Island Press, 2000.

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31

Siciliano, Bruno, and Lorenzo Sciavicco. Modelling and Control of Robot Manipulators. Springer London, Limited, 2012.

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32

Jármai, Károly, and Hazim Nasir Ghafil. Optimization for Robot Modelling with MATLAB. Springer, 2020.

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33

Modelling and Control of Robot Manipulators. Mcgraw-Hill (Tx), 1997.

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34

Tokhi, M. O., and A. K. M. Azad. Flexible Robot Manipulators: Modelling, Simulation and Control. Institution of Engineering and Technology, 2017. http://dx.doi.org/10.1049/pbce086e.

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35

Flexible Robot Manipulators: Modelling, simulation and control. The Institution of Engineering and Technology, 2017.

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36

Computational Modelling of Robot Personhood and Relationality. Springer, 2023.

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37

Robot Modelling: Control and Applications with Software. Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1985.

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38

Tokhi, M. Osman, and Abul K. M. Azad. Flexible Robot Manipulators: Modelling, Simulation and Control. Institution of Engineering & Technology, 2008.

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39

Azad, A. K. M., and M. O. Tokhi. Flexible Robot Manipulators: Modelling, Simulation and Control. Institution of Engineering & Technology, 2017.

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40

(Editor), M. O. Tokhi, and A. Azad (Editor), eds. Flexible Robot Manipulators: Modelling, Simulation And Control. Peter Peregrinus Ltd, 2008.

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41

Zhou, Xuefeng. Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection. Springer Nature, 2020.

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42

Wu, Hongmin, Zhihao Xu, Shuai Li, Xuefeng Zhou, and Juan Rojas. Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection. Springer Singapore Pte. Limited, 2020.

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43

Wu, Hongmin, Zhihao Xu, Shuai Li, Xuefeng Zhou, and Juan Rojas. Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection. Springer Singapore Pte. Limited, 2020.

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44

Bunke, H., T. Kanade, and H. Noltemeier. Modelling and Planning for Sensor Based Intelligent Robot Systems. WORLD SCIENTIFIC, 1995. http://dx.doi.org/10.1142/2728.

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45

Modelling and Planning for Sensor Based Intelligent Robot Systems. World Scientific Publishing Co Pte Ltd, 1995.

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46

Bayro-Corrochano, Eduardo. Geometric Algebra Applications Vol. II: Robot Modelling and Control. Springer, 2020.

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47

Noceti, Nicoletta, Alessandra Sciutti, and Francesco Rea. Modelling Human Motion: From Human Perception to Robot Design. Springer International Publishing AG, 2021.

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48

Noceti, Nicoletta, Alessandra Sciutti, and Francesco Rea. Modelling Human Motion: From Human Perception to Robot Design. Springer, 2020.

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49

Modelling and Planning for Sensor Based Intelligent Robot Systems. World Scientific Publishing Co Pte Ltd, 1995.

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50

Modelling and simulation of robot manipulators: A parallel processing approach. Singaport: World Scientific, 1992.

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