|
Segway. (2015). (http://www.segway.com/) Intelligent Control Techniques in Mechatronics – Genetic Algorithm (http://www.ro.feri.uni-mb.si/predmeti/int_reg/Predavanja/Eng/3.Genetic%20algorithm/_05.html) Salerno, A. &; Angeles, J. (2007). A New Family of Two-Wheeled Mobile Robots: Modeling and Controllability, IEEE Trans. Robotics, vol.23, no.1, pp. 169-173 Huang, C.H., Wang, W.J, &; Chiu, C.H. (2011). Design and implementation of fuzzy control on a two-wheel inverted pendulum, IEEE Trans. Ind. Electron., vol. 58, no.7, pp. 2988-3001 Grasser, F., D’Arrigo, A., Colombi, S., &; Rufer, A. C. (2002). JOE: A mobile, inverted pendulum, IEEE Trans. Ind. Electron., vol. 49, no.1, pp. 107-114 Chen, J.Y., Liu, C.H., Chen, C.C., &; Lin, K.C. (2011). Adaptive Fuzzy Control of Two-Wheeled Balancing Vehicle, Paper Presented at Conference of Instrumentation, Computer, Communication and Control, pp. 341-344 Xu, J.X., Guo, Z.Q., &; Lee, T.H. (2013). Design and Implementation of a Takagi-Sugeno-Type Fuzzy Logic Controller on a Two-Wheeled Mobile Robot, IEEE Trans. Ind. Electron, vol. 60, no.12, pp. 5717-5728 Kanada, T., Watanabe, Y., &; Chen, G. (2011). Robust H_2 control for two-wheeled inverted pendulum using LEGO Mindstorms, Paper Presented at Conference of Control, Australia: Melbourne, pp. 136-141 Yamamoto, Y. (2008). NXTway-GS (Self-Balancing Two-Wheeled Robot) Controller Design, The Math Works Pathak, K., Franch, J., &; Agrawal, S. K. (2005). Velocity and position control of a wheel inverted pendulum by partial feedback linearization, IEEE Trans. Robot., vol. 21, no. 3, pp. 505-513 Ibanez, C.A., Frias, O.G. &; Castanon, M.S. (2005). Lyapunov Based Controller for the Inverted Pendulum Cart System, Nonlinear Dynamic, vol. 40, no. 4, pp. 367-374 Linda, O. &; Manic, M. (2011). Self-Organizing Fuzzy Haptic Teleoperation of Mobile Robot Using Sparse Sonar Data, IEEE Trans. Ind. Electron., vol. 58, no. 8, pp. 3187 - 3195 Gawthrop, P.J. &; McGookin, E. (2004). A LEGO-based control experiment, IEEE Control System, vol. 24. no. 5, pp. 43 - 56 Kim, S.H. &; Jeon W.J. (2009). Introduction for Freshmen to Embedded Systems Using LEGO Mindstorms, IEEE Trans. Education, vol. 52, no. 1, pp. 99 - 108 Kim, Y. (2011). Control System Lab Using a LEGO Mindstorms NXT Motor System, IEEE Trans. Education, vol. 54, no. 3, pp. 452 - 461 Zadeh, L. A. (1965). Fuzzy Set, ScienceDirect. Information and Control Volume 8(Issue 3), pp. 338-353 Takagi, T. &; Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Systems, Man and Cybernetics, vol. SMC-15, no. 1, pp. 116 - 132 Holland, J. H. (1975). Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence. University of Michigan Press Juang, Y. T., Chang, Y. T., Huang, C. P. (2008). Design of fuzzy PID controllers using modified triangular membership functions, ScienceDirect. Information Sciences vol. 178, pp. 1325-1333 Wright, A. H. (1991). Genetic algorithms for real parameter optimization. Foundations of genetic algorithms, vol. 1, pp. 205-218 Bramlette, M. F. (1991). Initialization, Mutation and Selection Methods in Genetic Algorithms for Function Optimization. In ICGA, pp. 100-107 Janikow, C. Z., &; Michalewicz, Z. (1991). An experimental comparison of binary and floating point representations in genetic algorithms. In ICGA, pp. 31-36
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