Self-Optimized Nonlinear PID Controller for Networked Chaotic Systems to Synchronize onto Arbitrary Orbit

Article Preview

Abstract:

Synchronization onto arbitrary orbit for diffusively coupled complex networks is of great application value and was investigated in this paper especially when nodes are chaotic systems. A decentralized nonlinear PID controller was proposed for this purpose. The controller was designed with assistance of associated feedback system of the network. A particle swarm style self-optimization algorithm was provided to find the optimal parameter of the controller online with IAE performance index. Finally a networked Chen system was given to be controlled to track sine wave, square wave and triangular wave simultaneously as the example to verify the method presented.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

998-1005

Citation:

Online since:

October 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] S. Boccaletti, V. Latora, Y. Moreno, et al: Physics Reports Vol. 424 (2006), p.175.

Google Scholar

[2] R. Cohen, S. Havlin: Complex Networks: Structure, Robustness and Function (Cambridge University Press, New York 2010).

Google Scholar

[3] L. Guo, X.M. Xu: Complex networks (Shanghai Scientific & Technological Education Publishing House, Shanghai 2006).

Google Scholar

[4] A. Arenas, A.D. Guilera, J. Kurths, et al: Physics Reports Vol. 469 (2008), p.93.

Google Scholar

[5] G.R. Chen, X.F. Wang, X. Li, et al, in: Recent Advances in Nonlinear Dynamics and Synchronization, edtied by K. Kyamakya, Springer-Verlag, Berlin Heidelberg (2009).

Google Scholar

[6] L.M. Pecora, T.L. Carroll: Physical Review Letters Vol. 80 (1998), p.2109.

Google Scholar

[7] T.E. Gorochowski, M.D. Bernardo, C.S. Grierson: Physical Review E Vol. 81 (2010), 056212.

Google Scholar

[8] T. Pereira: Physical Review E Vol. 82 (2010), 036201.

Google Scholar

[9] A.H. Hu, Z.Y. Xi, L.X. Guo: Chaos Vol. 20 (2010), 013112.

Google Scholar

[10] Z.K. Li, Z.S. Duan, G.R. Chen, et al: IEEE Transactions on Circuits and Systems—I Vol. 57 (2010), p.213.

Google Scholar

[11] Y.W. Wang, H.O. Wang, J.W. Xiao, et al: Automatica Vol. 46 (2010), p.197.

Google Scholar

[12] Y.Y. Liu, J.J. Slotine, A.L. Barabasi: Nature Vol. 473 (2011), p.167.

Google Scholar

[13] X.J. Wu, H.T. Lu: Physics Letters A Vol. 375 (2011), p.1559.

Google Scholar

[14] I. Necoar, V. Nedelcu, I. Dumitrache: Journal of Process Control Vol. 21 (2011), p.756.

Google Scholar

[15] M. Brede: European Physical Journal B Vol. 74 (2010), p.217.

Google Scholar

[16] C. Yin, S.M. Zhong, W.F. Chen: Communications in Nonlinear Science and Numerical Simulation Vol. 16 (2011), p.1632.

Google Scholar

[17] J.H. Lu, X.H. Yu, G.R. Chen, et al: IEEE Transactions on Circuits and Systems—I Vol. 51 (2004), p.787.

Google Scholar

[18] D.D. Siljak, A.I. Zecevic: Annual Reviews in Control Vol. 29 (2005), p.169.

Google Scholar

[19] Y.L. Xiao, C. Zhang: Electrical Automation Vol. 1(2000), p.20.

Google Scholar

[20] J. Kennedy, R. Eberhart: Proceedings of IEEE International Conference on Neural Networks, Perth Australia, (1995), p. (1942).

Google Scholar

[21] G. Chen, T. Ueta: Int. J. Bifurcation Chaos Vol. 9 (1999), p.1465.

Google Scholar

[22] K.J. Astrom, T. Hagglund: PID Controllers: Theory, Design and Tuning (Instrument Society of America, New York 1995).

Google Scholar

[23] A.O. Dwyer: Handbook of PI and PID Controller tuning rules (Imperial College Press, London 2003).

Google Scholar

[24] A.L. Barabasi, R. Albert: Science Vol. 286 (1999), p.509.

Google Scholar