[1] J. Craig. Introduction to Robotics. Mechanics&Control. Addison-Wesley Publishing Company, 1986.
[2] R. Kelly, V.S. Davila, and A. Loría. Control of Robot Manipulators in Joint Space. Springer, London, 2005. doi: 10.1007/b135572.
[3] M.W. Spong, S. Hutchinson, and M. Vidyasagar. Robot Modeling and Control. John Wiley & Sons, 2006.
[4] F.W. Lewis, D.M. Dawson, and C.T. Abdallah. Robot Manipulator Control: Theory and Practice. CRC Press, 2003.
[5] J.Swevers, C. Ganseman, D.B.Tukel, J. de Schutter, and H.Van Brussel. Optimal robot excitation and identification. IEEE Transactions on Robotics and Automation, 13(5):730–740, 1997. doi: 10.1109/70.631234.
[6] J.Swevers,W. Verdonck, and J. de Schutter. Dynamic model identification for industrial robots. IEEE Control Systems Magazine, 27(5):58–71, 2007. doi: 10.1109/MCS.2007.904659.
[7] A. Liegeois, E. Dombre, and P. Borrel. Learning and control for a compliant computer controlled manipulator. IEEE Transactions on Automatic Control, 25(6):1097–1102, 1980. doi: 10.1109/TAC.1980.1102513.
[8] A.J. Koivo and T.H. Guo. Control of robotic manipulator with adaptive controller. In 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, pages 271–276, San Diego, USA, 16–18 Dec. 1981. doi: 10.1109/CDC.1981.269527.
[9] C.S.G. Lee and M.J. Chung. An adaptive control strategy for computer-based manipulators. In 1982 21st IEEE Conference on Decision and Control, pages 95–100, Orlando, USA, 8–10 Dec. 1982. doi: 10.1109/CDC.1982.268407.
[10] A. Koivo and T.H. Guo. Adaptive linear controller for robotic manipulators. IEEE Transactions on Automatic Control, 28(2):162–171, 1983. doi: 10.1109/TAC.1983.1103211.
[11] J.-J.E. Slotine and W. Li. On the adaptive control of robot manipulators. The International Journal of Robotics Research, 6(3):49–59, 1987. doi: 10.1177/027836498700600303. [12] F.W. Lewis, S. Jagannathan, and A. Yesildirak. Neural Network Control of Robot Manipulators and Non-Linear Systems. Taylor & Francis, Inc, 1998.
[13] G. Dreyfus, G. Neural Networks. Methodology and Applications. Springer-Verlag, Berlin, Heidelberg, 2005. doi: 10.1007/3-540-28847-3.
[14] M.A. Johnson and M.B. Leahy. Adaptive model-based neural network control. IEEE International Conference on Robotics and Automation Proceedings, volume 3, pages 1704-1709, Cincinnati, USA, 13–18 May 1990. doi: 10.1109/ROBOT.1990.126255.
[15] M.B. Leahy, M A. Johnson, D.E. Bossert, and G.B. Lamont. Robust model-based neural network control. In 1990 IEEE International Conference on Systems Engineering, pages 343– 346, Pittsburgh, USA, 9–11 Aug. 1990. doi: 10.1109/ICSYSE.1990.203167.
[16] R.T. Newton and Y. Xu. Neural network control of a space manipulator. IEEE Control Systems Magazine, 13(6):14–22, 1993. doi: 10.1109/37.247999.
[17] F.L. Lewis. Neural network control of robot manipulators. IEEE Expert, 11(3):64–75, 1996. doi: 10.1109/64.506755.
[18] F.L. Lewis, A. Yesildirek, and K. Liu. Multilayer neural-net robot controller with guaranteed tracking performance. IEEE Transactions on Neural Networks, 7(2):388–399, 1996. doi: 10.1109/72.485674.
[19] A. Bottero, G. Gerio, V. Perna, and A. Gagliano. Adaptive control techniques and feed forward compensation of periodic disturbances in industrial manipulators. In 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA), pages 1–7, Senigallia, Italy, 10–12 Sept. Sept. 2014. doi: 10.1109/MESA.2014.6935612.
[20] J. Li, H. Ma, C. Yang, and M. Fu. Discrete-time adaptive control of robot manipulator with payload uncertainties. In 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), pages 1971–1976, Shenyang, China, 8–12 June 2015. doi: 10.1109/CYBER.2015.7288249.
[21] M. Li, Y. Li, S.S. Ge, and T.H. Lee. Adaptive control of robotic manipulators with unified motion constraints. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(1):184– 194, 2017. doi: 10.1109/TSMC.2016.2608969.
[22] Ł.Wolinski. Implementation of the adaptive control algorithm for theKUKALWR4+rRobot. In J. Awrejcewicz, ed., Dynamical Systems in Theoretical Perspective, volume 248 of Springer Proceedings in Mathematics & Statistics, pages 391–401, Springer, Cham, 2018. doi: 10.1007/978-3-319-96598-7_31.
[23] M. de Paula Assis Fonseca, B.V. Adorno, and P. Fraisse. An adaptive controller with guarantee of better conditioning of the robot manipulator joint-space inertia matrix. In 2019 19th International Conference on Advanced Robotics (ICAR), pages 111–116, Belo Horizonte, Brazil, 2–6 Dec. 2019. doi: 10.1109/ICAR46387.2019.8981558.
[24] L. Zhang and L. Cheng. An adaptive neural network control method for robotic manipulators trajectory tracking. In 2019 Chinese Control And Decision Conference (CCDC), pages 4839– 4844, Nanchang, China, 3–5 June 2019. doi: 10.1109/CCDC.2019.8832715.
[25] He Jun-Pei, Huo Qi, Li Yan-Hui, Wang Kai, Zhu Ming-Chao, and Xu Zhen-Bang. Neural network control of space manipulator based on dynamic model and disturbance observer. IEEE Access, 7:130101–130112, 2019. doi: 10.1109/ACCESS.2019.2937908.
[26] A. Nawrocka, M. Nawrocki, and A. Kot. Neural network control for robot manipulator. In 2019 20th International Carpathian Control Conference (ICCC), pages 1–4, Krakow-Wieliczka, Poland, 26–29 May 2019. doi: 10.1109/CarpathianCC.2019.8765995.
[27] Ł. Wolinski and P. Malczyk. Dynamic modeling and analysis of a lightweight robotic manipulator in joint space. Archive of Mechanical Engineering, 62(2):279–302, 2015. doi: 10.1515/meceng-2015-0016.
[28] G. Rodriguez, A. Jain, and K. Kreutz-Delgado. A spatial operator algebra for manipulator modelling and control. I nternational Journal of Robotics Research, 10(4):371–381, 1991. doi: 10.1177/027836499101000406.
[29] Lightweight Robot 4+ Specification, Version: Spez LBR 4+ V2en, 06.07.2010.
[30] A. Jubien, M. Gautier, and A. Janot. Dynamic identification of the Kuka lightweight robot: comparison between actual and confidential Kuka’s parameters. In Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics 2014, pages 483–488, Besancon, France, 8-11 July 2014. doi: 10.1109/AIM.2014.6878124.
[31] H. Kawasaki, T. Bito, and K. Kanzaki. An efficient algorithm for the model-based adaptive control of robotic manipulators. IEEE Transactions on Robotics and Automation, 12(3):496– 501, 1996. doi: 10.1109/70.499832.
[32] B. Siciliano, L. Sciavicco, L.Villani, and G. Oriolo. Robotics. Modelling, Planning and Control. Springer-Verlag, London, 2009. doi: 10.1007/978-1-84628-642-1.
[33] M. Gautier and W. Khalil. Direct calculation of minimum set of inertial parameters of serial robots. IEEE Transactions on Robotics and Automation, 6(3):368–373, 1990. doi: 10.1109/70.56655.
[34] Ł. Wolinski and M. Wojtyra. Comparison of dynamic properties of two KUKA lightweight robots. In ROMANSY 21 – Robot Design, Dynamics and Control. Proceedings of the 21st CISM-IFToMM Symposium, volume 569, pages 413–420, 2016. doi: 10.1007/978-3-319-33714-2_46.
[35] V. Záda and K. Belda. Mathematical modeling of industrial robots based on Hamiltonian mechanics. In 2016 17th International Carpathian Control Conference (ICCC), pages 813– 818, 2016. doi: 10.1109/CarpathianCC.2016.7501208.
[36] V. Záda and K. Belda. Application of Hamiltonian mechanics to control design for industrial robotic manipulators. In 2 017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR), pages 390–395, Miedzyzdroje, Poland, 28–31 Aug. 2017. doi: 10.1109/MMAR.2017.8046859.
[37] K. Chadaj, P. Malczyk, and J. Frączek. A parallel recursive hamiltonian algorithm for forward dynamics of serial kinematic chains. IEEE Transactions on Robotics, 33(3):647–660, 2017. doi: 10.1109/TRO.2017.2654507.
[38] G. Schreiber, A. Stemmer, and R. Bischoff. The fast research interface for the KUKAl ightweight robot. In Proceedings of the IEEE ICRA 2010Workshop on ICRA 2010Workshop on Innovative Robot Control Architectures for Demanding (Research) Applications – How to Modify and Enhance Commercial Controllers, pages 15–21, May 2010.

[1] S.U.S. Choi and J.A. Eastman. Enhancing thermal conductivity of fluids with nanoparticles. In 1995 International mechanical engineering congress and exhibition. ASME, 12-17 Nov. 1995.
[2] M.A. Akhavan-Behabadi, F. Hekmatipour, S.M. Mirhabibi, and B. Sajadi. Experimental investigation of thermal–rheological properties and heat transfer behavior of the heat transfer oil–copper oxide (HTO–CuO) nanofluid in smooth tubes. Experimental Thermal and Fluid Science, 68:681–688, 2015.
[3] M.T.Naik, S.S. Fahad, L.S. Sundar, and M.K. Singh. Comparative study on thermal performance of twisted tape and wire coil inserts in turbulent flow using CuO/water nanofluid. Experimental Thermal and Fluid Science, 57:65–76, 2014.
[4] M.T. Naik, G.R. Janardana, and L.S. Sundar. Experimental investigation of heat transfer and friction factor with water–propylene glycol based CuO nanofluid in a tube with twisted tape inserts. International Communications in Heat and Mass Transfer, 46:13–21, 2013.
[5] J.J. Michael and S. Iniyan. Performance analysis of a copper sheet laminated photovoltaic thermal collector using copper oxide–water nanofluid. Solar Energy, 119:439–451, 2015.
[6] M. Bouhalleb and H. Abbassi. Natural convection in an inclined rectangular enclosure filled by CuO-H2O nanofluid, with sinusoidal temperature distribution. International Journal of Hydrogen Energy, 40(39):13676–13684, 2015.
[7] K. Goudarzi, E. Shojaeizadeh, and F. Nejati. An experimental investigation on the simultaneous effect of CuO-H2O nanofluid and receiver helical pipe on the thermal efficiency of a cylindrical solar collector. Applied Thermal Engineering, 73(1):1236–1243, 2014.
[8] Y. Abbassi, A.S. Shirani, and S. Asgarian. Two-phase mixture simulation of Al2O3/water nanofluid heat transfer in a non-uniform heat addition test section. Progress in Nuclear Energy, 83:356–364, 2015.
[9] H.K. Gupta, G.D. Agrawal, and J. Mathur. An experimental investigation of a low temperature Al2O3-H2O nanofluid based direct absorption solar collector. Solar Energy, 118:390–396, 2015.
[10] E. Shojaeizadeh, F. Veysi, and A. Kamandi. Exergy efficiency investigation and optimization of an Al2O3-water nanofluid based flat-plate solar collector. Energy and Buildings, 101:12–23, 2015.
[11] M.H. Esfe, A. Karimipour, W.-M. Yan, M. Akbari, M.R. Safaei, and M. Dahari. Experimental study on thermal conductivity of ethylene glycol based nanofluids containing Al2O3 nanoparticles. International Journal of Heat and Mass Transfer, 88:728–734, 2015.
[12] M.H. Esfe, S. Saedodin, M. Akbari, A. Karimipour, M. Afrand, S. Wongwises, M.R. Safaei, and M. Dahari. Experimental investigation and development of new correlations for thermal conductivity of cuo/eg–water nanofluid. International Communications in Heat and Mass Transfer, 65:47–51, 2015.
[13] L. S. Sundar, Md.H. Farooky, S.N. Sarada, and M.K. Singh. Experimental thermal conductivity of ethylene glycol and water mixture based low volume concentration of Al2O3 and CuO nanofluids. International Communications in Heat and Mass Transfer, 41:41–46, 2013.
[14] R.S. Khedkar, S.S. Sonawane, and K.L.Wasewar. Influence of CuO nanoparticles in enhancing the thermal conductivity of water and monoethylene glycol based nanofluids. International Communications in Heat and Mass Transfer, 39(5):665–669, 2012.
[15] M.N. Rashin and J. Hemalatha. A novel ultrasonic approach to determine thermal conductivity in CuO-ethylene glycol nanofluids. Journal of Molecular Liquids, 197:257–262, 2014.
[16] R. Karthik, R.H. Nagarajan, B. Raja, and P. Damodharan. Thermal conductivity of CuO-DI water nanofluids using 3-ω measurement technique in a suspended micro-wire. Experimental Thermal and Fluid Science, 40:1–9, 2012.
[17] S. Harikrishnan and S. Kalaiselvam. Preparation and thermal characteristics of CuO-oleic acid nanofluids as a phase change material. Thermochimica Acta, 533:46–55, 2012.
[18] M. Saeedinia, M.A. Akhavan-Behabadi, and P. Razi. Thermal and rheological characteristics of CuO-base oil nanofluid flow inside a circular tube. I nternational Communications in Heat and Mass Transfer, 39(1):152–159, 2012.
[19] M.-S. Liu, M.C.-C. Lin, I.-T. Huang, and C.-C. Wang. Enhancement of thermal conductivity with CuO for nanofluids. Chemical Engineering & Technology, 29(1):72–77, 2006.
[20] M.-S. Liu, M.C.-C. Lin, and C.-C. Wang. Enhancements of thermal conductivities with Cu, CuO, and carbon nanotube nanofluids and application of MWNT/water nanofluid on a water chiller system. Nanoscale Research Letters, 6(1):1–13, 2011.
[21] H.E. Patel, T. Sundararajan, and S.K. Das. An experimental investigation into the thermal conductivity enhancement in oxide and metallic nanofluids. Journal of Nanoparticle Research, 12(3):1015–1031, 2010.
[22] D.P. Kulkarni, R.S. Vajjha, D.K. Das, and D. Oliva. Application of aluminum oxide nanofluids in diesel electric generator as jacket water coolant. Applied Thermal Engineering, 28(14-15):1774–1781, 2008.
[23] M. Raja, R. Vijayan, S. Suresh, and R. Vivekananthan. Effect of heat transfer enhancement and NOx emission using Al2O3/water nanofluid as coolant in CI engine. Indian Journal of Engineering & Materials Sciences, 20:443–449, 2013.
[24] S.M. Peyghambarzadeh, S.H. Hashemabadi, S.M. Hoseini, and M.S. Jamnani. Experimental study of heat transfer enhancement using water/ethylene glycol based nanofluids as a newcoolant for car radiators. International Communications in Heat and Mass Transfer, 38(9):1283–1290, 2011.
[25] S. Suresh, M. Chandrasekar, and S.C. Sekhar. Experimental studies on heat transfer and friction factor characteristics of CuO/water nanofluid under turbulent flow in a helically dimpled tube. Experimental Thermal and Fluid Science, 35(3):542–549, 2011.
[26] M. Naraki, S.M. Peyghambarzadeh, S.H. Hashemabadi, and Y. Vermahmoudi. Parametric study of overall heat transfer coefficient of Cuo/water nanofluids in a car radiator. International Journal of Thermal Sciences, 66:82–90, 2013.
[27] B. Xiao, Y. Yang, and L. Chen. Developing a novel form of thermal conductivity of nanofluids with Brownian motion effect by means of fractal geometry. Powder Technology, 239:409–414, 2013.
[28] C. Sayin and M. Canakci. Effects of injection timing on the engine performance and exhaust emissions of a dual-fuel diesel engine. Energy Conversion and Management, 50(1):203–213, 2009.