11.7 Conclusions
In this chapter, a fuzzy logic enhanced navigation and collision avoidance system for truck or truck and trailer systems has been described. It assumes that vehicle coordinates and its orientation in respect to the x-axis can be determined and is based on the fuzzy trajectory mapping unit that provides smooth car trajectory management independent of the object’s initial position or the position of the loading dock. It is suggested that for performing more demanding tasks than demonstrated here, additional blocks adding more “intelligence” are required. The latter is made possible by the modular structure of the control system that also enables us to tune subsystems of the control system responsible for different tasks individually without jeopardizing overall performance.
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References
D. Nguyen and B. Widrow, “The truck backer-upper: An example of self-learning in neural network,” IEEE Contr. Syst. Mag., 1990, Vol. 10, No. 2, pp 18–23.
J.R. Koza, “A genetic approach to the truck backer upper problem and the intertwined spirals problem”. Proc. Int. Joint Conf. Neural Networks, Piscataway, NJ, Vol. 4, 1992, pp 310–318.
M. Schoenauer and E. Ronald, “Neuro-genetic truck backer-upper controller. Proc. First Int. Conf. Evolutionary Comp., Orlando, FL, USA, 1999, pp 720–723.
R.E. Jenkins and B.P. Yuhas, “A Simplified Neural Network Solution Through Problem Decomposition: The Case of the Truck Backer-Upper”, IEEE Trans. Neural Networks, Vol. 4, No. 4, 1993, pp 718–720.
S. Kong and B. Kosko, “Comparison of fuzzy and neural truck backer-upper control systems”. Proc. IJCNN, Vol. 3, 1990, pp 349–358.
K. Tanaka, T. Kosaki and H.O. Wang, “Backing Control Problem of a Mobile Robot with Multiple Trailers: Fuzzy Modeling and LMI-Based Design”. IEEE Trans. Syst., Man, Cybern. Part C, Vol. 28, No. 3, 1998, pp 329–337.
L.-X. Wang and J. M. Mendel, “Generating fuzzy rules by learning from examples,” IEEE Trans. on System, Man, and Cybernetics, Vol. 22, No. 6, 1992, pp 1414–1427.
P.A. Ramamoorthy and S. Huang, “Fuzzy Expert Systems vs. Neural Networks — Truck Backer-Upper Control Revisited,” Proc. IEEE, 1991, pp 221–224.
J.J. Shann and H.C. Fu, “A fuzzy neural network for rule acquiring on fuzzy control systems”, Fuzzy Sets and Systems, Vol. 71, 1995, pp 345–357.
A. Ismail and E.A.G. Abu-Khousa, “A Comparative Study of Fuzzy Logic and Neural Network Control of the Truck Backer-Upper System,” Proc. IEEE Int. Symp. on Intelligent Control, Dearborn, 1996, pp 520–523.
D. Kim, “Improving the fuzzy system performance by fuzzy system ensemble”, Fuzzy Sets and Systems, Vol. 98, 1998, pp 43–56.
S.-G. Kong, B. Kosko, “Adaptive Fuzzy Systems for Backing up a Truck-and-Trailer,” IEEE Trans. on Neural Networks, Vol. 3, No. 5, 1992, pp 211–223.
I. Dumitrache and B. Catalin, “Genetic learning of fuzzy controllers,” Mathematics and Computers in Simulation, Vol. 49, 1999, pp 13–26.
M.-C. Su and H.-T. Chang, “Application of neural networks incorporated with realvalued genetic algorithms in knowledge acquisition,” Fuzzy Sets and Systems, Vol. 112, 2000, pp 85–97.
A. Riid and E. Rüstern, “Fuzzy logic in control: truck backer-upper problem revisited” Proc. 10th IEEE International Conference on Fuzzy Systems, Melbourne, Vol. 1, 2001, pp 513–516.
A. Riid and E. Rüstern, “Fuzzy Hierarchical Control of Truck and Trailer” Proc. 8th Biennal Baltic Electronic Conf., Tallinn, Estonia, 2002, pp 141–144.
A. Riid and E. Rüstern, “Car Navigation and Collision Avoidance System with Fuzzy Logic”, Proc IEEE International Conference on Fuzzy Systems, Budapest, Vol. 3, 2004, pp 1443–1448.
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Riid, A., Pahhomov, D., Rüstern, E. (2006). Fuzzy Logic Control for Automobiles II: Navigation and Collision Avoidance System. In: Bai, Y., Zhuang, H., Wang, D. (eds) Advanced Fuzzy Logic Technologies in Industrial Applications. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-84628-469-4_11
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