Abstract
Formation of agents is of recent interest in computer sciences, robotics and control systems. Several goal formation strategies may be of interest according to the sensory capabilities of the agents. This paper addresses the formation of mobile agents in absolute positioning without order. In this paper a control system based on Hopfiled neural networks is proposed. The paper summarizes the control system and describes a JAVA-based application developed to visualize the control system behavior. This interactive animation tool improves the understanding of and intuition for a number of aspects dealing with the formation of agents such as agents dynamics. This tool allows to directly manipulate graphical representation of the systems such as initial configuration of the agents, and get instant feedback on the effects.
Work partially supported by CONACyT (grant 45826).
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References
Fierro, R., Song, P., Das, A., Kumar, V.: Cooperative control of robot formation. In: Murphey, R., Pardalos, P. (eds.) Cooperative Control and Optimization, Applied Optimization, ch. 5, vol. 66, pp. 73–93. Springer, Heidelberg (2002)
Arai, T., Pagello, E., Parker, L.E.: Editorial: Advances in multi–robot systems. IEEE Transactions on Robotics and Automation 18(5), 655–661 (2002)
Desai, J.P.: A graph theoretic approach for modeling mobile robot team formations. Journal of Robotic Systems 19(11), 511–525 (2002)
Lin, Z., Broucke, M., Francis, B.: Local control strategies for group of mobile autonomous agents. IEEE Trans. on Automatic Control 49(4), 622–629 (2004)
Khalil, H.: Nonlinear Systems Analysis, 2nd edn. Prentice-Hall, Englewood Cliffs (1996)
Haykin, S.: Neural networks: A comprehensive foundation. Macmillan College Publishing Company, Basingstoke (1994)
Hagan, M.T., Demuth, H.B., Beale, M.: Neural network design. PWS Publishing Company (1996)
Sudharsanan, S.I., Sundareshan, M.K.: Equilibrium characterization of dynamical neural networks and a systematic synthesis procedure for associative memories. IEEE Tranns. on Neural Networks 2(5) (1991)
Fredslund, J., Mataric, M.J.: A general algorithm for robot formation using local sensing and minimal communication. IEEE Transactions on Robotics and Automation 18(5), 837–846 (2002)
Gazi, V.: Formation control of a multi-agent system using nonlinear servomechanism. International Journal of Control 78(8), 554–565 (2005)
Dormido, S.: Control learning: present and future. In: Proc. of the 15th IFAC World Congress, Barcelona, Spain, pp. 81–103 (2002)
Kelly, R., Dormido, S., Monroy, C., Díaz, E.: Learning control of robot manipulators by interactive simulation. Robotica 23, 515–520 (2004)
Esquembre, F.: Easy Java Simulations: A software tool to create scientific simulations in Java. Computer Physics Communications 156, 199–204 (2004)
Sanchez, J., Esquembre, F., Martin, C., Dormido, S., Dormido–Canto, S., Canto, R.D., Pastor, R., Urquia, A.: Easy Java Simulations: an open–source tool to develop interactive virtual laboratories using MATLAB/Simulink. International Journal of Engineering Education 21(5), 798–813 (2005)
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Kelly, R., Monroy, C. (2009). Interactive Animation of Agent Formation Based on Hopfield Neural Networks. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds) Bio-Inspired Systems: Computational and Ambient Intelligence. IWANN 2009. Lecture Notes in Computer Science, vol 5517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02478-8_67
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DOI: https://doi.org/10.1007/978-3-642-02478-8_67
Publisher Name: Springer, Berlin, Heidelberg
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