Wu Deng, Huimin Zhao, Yinglian Luo and Xiumei Li


  1. [1] G. Chen, Conventional and fuzzy PID controllers: an overview, International Journal of Intelligent Control and Systems, 1(2), 1996, 235–246.
  2. [2] C. Leandro dos Santos and A.A.R. Antonio, Model-free adaptive control optimization using a chaotic particle swarm approach, Chaos, Solitons & Fractals, 41(4), 2009, 2001–2009.
  3. [3] S. Zhang, W.T. Cyrus, J. Bentsman, A. Hussey, and B. Petrus, Simultaneous gains tuning in boiler/turbine PID-based controller clusters using iterative feedback tuning methodology, ISA Transactions, 51(5), 2012, 609–621.
  4. [4] Y.G. Tang, X.Y. Zhang, D.L. Zhang, G. Zhao, and X.P. Guan, Fractional order sliding mode controller design for antilock braking systems, Neurocomputing, 111(2), 2013, 122–130.
  5. [5] K.H. Ang, G. Chong, and Y. Li, PID control system analysis, design and technology, IEEE Transaction on Control System Technology, 13(4), 2005, 559–576.
  6. [6] R.S. Rodrigo, A.A.R. Antonio, and C. Leandro dos Santos, Computational intelligence approach to PID controller design using the universal model, Information Sciences, 180(20), 2010, 3980–3991.
  7. [7] Y.G. Tang, H.F. Liu, W.W. Wang, Q.S. Lian, and X.P. Guan, Parameter identification of fractional order systems using block pulse functions, Signal Processing, 107(1), 2015, 272–228.
  8. [8] T. Kumbasar, Add to selected records a simple design method for interval type-2 fuzzy PID controllers, Soft Computing, 18(7), 2014, 1293–1304.
  9. [9] J. Kang, W.J. Meng, A. Abraham, and H.B. Liu, An adaptive PID neural network for complex nonlinear system control, Neurocomputing, 135, 2014, 79–85.
  10. [10] J.N. Michael, Swain K. Akshya, U.K. Madawala, and D.J. Thrimawithana, An optimal PID controller for a bidirectional inductive power transfer system using multiobjective genetic algorithm, IEEE Transactions on Power Electronics, 29(3), 2014, 1523–1531.
  11. [11] M.H. Hung, L.S. Shu, S.J. Ho, S.F. Hwang, and S.Y. Ho, A novel intelligent multiobjective simulated annealing algorithm for designing robust PID controllers, IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, 38(2), 2008, 319–330.
  12. [12] X.C. Dong, Y.Y. Zhao, Y.Y. Xu, Z. Zhang, and P. Shi, Design of PSO fuzzy neural network control for ball and plate system, International Journal of Innovative Computing, Information and Control, 7(12), 2011, 7091–7103.
  13. [13] X.H. Li, H.B. Yu, and M.Z. Yuan, A new design method of optimal PID controller with dynamic performances constrained, Control and Intelligent Systems, 40(4), 2012, 242–262.
  14. [14] J. Hagg`ege, M. Ayadi, S. Bouall`egue, and M. Benrejeb, Design of fuzzy flatness-based controller for a DC drive, Control and Intelligent Systems, 38(3), 2010, 164–172.
  15. [15] C. Leandro dos Santos and B. Diego Luis de Andrade, A modified ant colony optimization algorithm based on differential evolution for chaotic synchronization, Expert Systems with Applications, 37(6), 2010, 4198–4203.
  16. [16] D.L. Luo, W.L. Xu, and S.X. Wu, UAV formation flight control and formation switch strategy, Control and Intelligent Systems, 42(1), 2014, 65–72.
  17. [17] G. Soumya, D. Rajkumar, N. Biswarup, D. Achintya, and D.N. Tibarewala, Add to selected records application of swarm intelligence computation techniques in PID controller tuning: a review, Advances in Intelligent and Soft Computing, 132, 2012, 195–208.
  18. [18] U. Muhammet, E. Hasan, and T. Vedat, Trajectory tracking performance comparison between genetic algorithm and ant colony optimization for PID controller tuning on pressure process, Computer Applications in Engineering Education, 20(3), 2012, 518–528.
  19. [19] Y.G. Tang, M.Y. Cui, C.C. Hua, L.X. Li, and Y.X. Yang, Optimum design of fractional order PIλDμ controller for AVR system using chaotic ant swarm, Expert Systems with Applications, 39(8), 20102, 6887–6896.
  20. [20] F. Ding and N. Feng, Application and simulation of fuzzy neural network PID controller in the aircraft cabin temperature, Sensors and Transducers, 153(6), 2013, 100–104.
  21. [21] J. Li and S.L. Kan, The study on multi-motor control system based on fuzzy PID control and BP neural network, Advances in Information Sciences and Service Sciences, 4(1), 2012, 100–107.
  22. [22] M. Dorigo and L.M. Gambardella, Ant colony system: a cooperative learning approach to the traveling salesman problem, IEEE Transactions on Evolutionary Computation, 1(1), 1997, 53–66.
  23. [23] H. Radmanesh and G.B. Gharehpetian, Ferroresonance suppression in power transformers using chaos theory, International Journal of Electrical Power and Energy Systems, 45(1), 2013, 1–9.

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