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Application of neural models as controllers in mobile robot velocity control loop


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[1] I. Bala Sateesh and G. Satis, Inverse Control of DC Motor using Artificial Neural Networks, 2015.Search in Google Scholar

[2] G. Campion, B. d’Andrea Novel and G. Bastin, ”Advanced Robot Control”, Proceedings of the International Workshop on Nonlinear and Adaptive Control: Issues in Robotics Grenoble, France, Nov. 21-23, 1990, Springer Berlin Heidelberg, 1991 pp. 106-124, Ch. Controllability and state feedback stabilizability of non holonomic mechanical systems.10.1007/BFb0039268Search in Google Scholar

[3] E. Cuevas, D. Zaldivar and M. Pérez, ”Low-Cost Commercial LEGO Platform for Mobile Robotics”, CoRR abs/1407.0049, 2014.Search in Google Scholar

[4] A. De Luca and G. Oriolo, ”Modelling and Control of Non-Holonomic Mechanical Systems”, Kinematics and dynamics of multi- body systems, Springer, 1995 pp. 277-342.10.1007/978-3-7091-4362-9_7Search in Google Scholar

[5] R. Dhaouadi and A. A. Hatab, ”Dynamic Modelling of Differential- Drive Mobile Robots using Lagrange and Newton-Euler Methodologies: A Unified Framework”, Advance in Robotics & Automation, vol. l2, no. 2, 2013.Search in Google Scholar

[6] J. Čerkala and A. Jadlovská, ”Dynamics with Friction in Mobile Robot Simulink Model”, Technical Computing Bratislava 2014, Proceedings, 2015, Lap Lambert Academic Publishing, pp. 65-81.Search in Google Scholar

[7] J. Čerkala and A. Jadlovská, ”Nonholonomic Mobile Robot with Differential Chassis Mathematical Modelling and Implementation in Simulink with Friction in Dynamics”, Acta Electrotech- nica et Informatica, vol. 15, no. 3, 2015 pp. 3-8.10.15546/aeei-2015-0021Search in Google Scholar

[8] J. Čerkala, T. Klein, and A. Jadlovská, ”Modeling and Control of Mobile Robot with Differential Chassis”, Electrical Engineer- ing and Informatics 6, Proceedings of the Faculty of Electrical Engineering and Informatics of the Technical University of Koˇsice, September 2015, Faculty of Electrical Engineering and Informatics, pp. 651-656.Search in Google Scholar

[9] R. Fierro and F. Lewis, ”Control of a Nonholonomic Mobile Robot: Backstepping Kinematics into Dynamics”, Decision and Control, 1995, Proceedings of the 34-th IEEE Conference, Dec 1995, vol. 4, pp. 3805-3810.Search in Google Scholar

[10] C. Iurian, F. Ikhouane, J. Rodellar Benedßé and R. Griñó Cubero, Identification of a System with Dry Friction, 2005.Search in Google Scholar

[11] A. Jadlovská, J. Čerkala, and M. Tomčák, ”Neural Model in Mobile Robot Trajectory Following Task”, Electrical Engineer- ing and Informatics 6, Proceedings of the Faculty of Electrical Engineering and Informatics of the Technical University of Košice, September 2015, Faculty of Electrical Engineering and Informatics, pp. 739-744.Search in Google Scholar

[12] A. Jadlovská, ”Using Forward and Inverse Neural Models for Solving Optimal Tracking Problem of Non-linear System”, Jour- nal of Electrical Engineering, vol. 55, 2004, pp. 150-155.Search in Google Scholar

[13] A. Jadlovská and S. Jadlovská, Modern Methods of Modelling and Control of Nonlinear Systems, elfa press, 2013, pp. 279, ISBN 978-8086-228-2 (in Slovak).Search in Google Scholar

[14] S. Kajan, ”Comparison of Some Neural Control Structures for Nonlinear System”, Journal of Cybernetics and Informatics, vol. 8, 2009.Search in Google Scholar

[15] R. Rojas, Models for DC Motors, 2010, Free University of Berlin, Institute of Computer Scienc.Search in Google Scholar

[16] N. Sarkar, Y. Xiaoping and V. Kumar, ”Systems Dynamics and Control, Proposed Course Overview and Education Oriented Approach for Mechatronics Engineering Curricula: Case Study”, American Journal of Educational Science, vol. 1, no. 4, 2015, pp. 135-151.Search in Google Scholar

[17] N. Sarkar, Y. Xiaoping and V. Kumar, ”Control of Mechanical Systems with Rolling Constraints: Application to Dynamic Control of Mobile Robots”, The International Journal of Robotics Research, vol. 13, no. 1, 1994, pp. 55-69.10.1177/027836499401300104Search in Google Scholar

[18] R. Siegwart and I. R. Nourbakhsh, Introduction to Autonomous Mobile Robots, MIT Press, 2004.Search in Google Scholar

[19] I. Virgala, P. Frankovský and M. Kenderová, ”Friction Effect Analysis of a DC Motor”, American Journal of Mechanical Engineering, vol. 1, no. 1, 2013, pp. 1-5. 10.12691/ajme-1-1-1Search in Google Scholar

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