Suppachai Howimanporn and Manukid Parnichkun


  1. [1] M. Park and D. Chwa, Swing-up and stabilization control of inverted-pendulum systems via coupled sliding-mode control method (I), IEEE Transactions on Industrial Electronics, 56(9), 2009, 3541–3555.
  2. [2] M. Park and D. Chwa, Orbital stabilization of invertedpendulum systems via coupled sliding-mode control method (II), IEEE Transactions on Industrial Electronics, 56(9), 2009, 3556–3570.
  3. [3] B. Srinivasan, P. Huguenin, and D. Bonvin, Global stabilization of an inverted pendulum control strategy and experimental verification, Automatica, 45(1), 2009, 265–269.
  4. [4] X. Xin and W. Zhou, The simulation of double inverted pendulum control based on particle swarm optimization LQR algorithm, Proc. International Conf. on Software Engineering and Service Sciences, Beijing, China, 2010, 253–256.
  5. [5] J.J. Wang, Simulation studies of inverted pendulum based on PID controllers, Simulation Modelling Practice and Theory, 19(1), 2011, 440–449.
  6. [6] C. Edwards and S. Spurgeon, Sliding mode control: theory and applications, CRC Press, 1998.
  7. [7] M.V. Basin, L.M. Fridman, J.G. Gonzlez, and P. Acosta, Optimal and robust sliding mode control for linear systems with multiple time delays in control input, Asian Journal of Control, 5(4), 2003, 557–567.
  8. [8] J. Jing and Q.H. Wuan, Intelligent sliding mode control algorithm for position tracking servo system, International Journal of Information Technology, 12, 2006, 57–62.
  9. [9] P. Ignaciuk and A. Bartoszewicz, Linear quadratic optimal discrete time sliding mode controller for connection oriented communication networks, IEEE Transactions on Industrial Electronics, 55(11), 2008, 4013–4021.
  10. [10] J.J. Moghaddam and A. Bagheri, An adaptive neuro-fuzzy sliding mode based genetic algorithm control system for under water remotely operated vehicle, Expert Systems with Applications, 37, 2010, 647–660.
  11. [11] D.W. Qian, J.Q. Yi, X.J. Liu, G.T. Yang, and M.X. Wang, Robust control by sliding mode for a class of uncertain under-actuated systems with saturation, Control and Intelligent Systems, 38(2), 2010, 87–94.
  12. [12] S.J. Mija and S. Thomas, Design of optimal discrete sliding mode controllers, International Journal of Intelligent Systems, 2, 2012, 119–124.
  13. [13] J. Kennedy and R. Eberhart, Particle swarm optimization, Proc. IEEE International Conf. Neural Networks, 1995, Perth, Australia, 1942–1948.
  14. [14] Y. Shi and R. Eberhart, Empirical study of particle swarm optimization, Proc. IEEE International Conf. on Computer, Washington DC, USA, 1999, 1945–1950.
  15. [15] F. Van der Bergh and A.P. Engelbrecht, A cooperative approach to particle swarm optimization, IEEE Transactions on Evolutionary Computation, 8, 2004, 225–239.
  16. [16] Z.L. Gaing, A particle swarm optimization approach for optimum design of PID controller in AVR system, IEEE Transactions on Energy Conversion, 19(2), 2004, 384–391.
  17. [17] S.P. Ghoshal, Optimizations of PID gains by particle swarm optimizations in fuzzy based automatic generation control, Electronic Power Systems Research, 72(3), 2004, 203–212.
  18. [18] W.L. Txiong, B.G. Xu, and Q.M. Zhou, Study on optimization of PID parameter based on improved PSO, Computer Engineering, 31(24), 2005, 41–43.
  19. [19] J.G. Vlachogiannis and K.Y. Lee, A comparative study on particle swarm optimization for optimal steady–state performance of power systems, IEEE Transactions on Power Systems, 21, 2006, 1718–1728.
  20. [20] Y. Song, Z. Chen, and Z. Yuan, New chaotic PSO-based neural network predictive control for nonlinear process, IEEE Transactions on Neural Networks, 18(2), 2007, 595–601.
  21. [21] C. Zhi-Mei, M. Wen-Jun, Z. Jing-Gang, and Z. Jian-Chao, Scheme of sliding mode control based on modified particle swarm optimization, Systems Engineering-Theory & Practice, 29(5), 2009, 137–141.
  22. [22] Y. Shaoqiang, W. Dong, and L. Xingshan, The application of PSO algorithm on pendubot, Proc. Control International Conf. on Natural Computation, Tianjian, China, 2009, 329–333.
  23. [23] P. Indranil, D. Saptarshi, and G. Amitava, Tuning of an optimal fuzzy PID controller with stochastic algorithms for networked control systems with random time delay, ISA Transactions, 50(1), 2011, 28–36.
  24. [24] Y. Xiang and Y. Liang, Control of inverted pendulum based on chaos PSO-PID, Computer Knowledge and Technology CNKI Journal, 36, 2012, 056: 1–6.

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