Automatic Rule Tuning of a Fuzzy Logic Controller Using Particle Swarm Optimisation

1. Lin, C.T., Lee, C.S.G.: Neural fuzzy systems. Prentice Hall, Inc., Upper Saddle River (1996)

   Google Scholar 

2. Fang, G., Kwok, N.M., Ha, Q.P.: Automatic Fuzzy Membership Function Tuning Using the Particle Swarm Optimisation. In: IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application (PACIIA 2008), Wuhan, China, vol. 2, pp. 324–328 (December 2008)

   Google Scholar 

3. Jang, J.S.R.: ANFIS: Adaptive-Network-Based Fuzzy Inference System. IEEE Transactions on Systems, Man, and Cybernetics 23(3), 665–685 (1993)

   Article  Google Scholar 

4. Shoorehdeli, M.A., Teshnehlab, M., Sedigh, A.K.: Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter. Fuzzy Sets and Systems (160), 922–948 (2009)

   Google Scholar 

5. Pratihar, D.K., Deb, K., Ghosh, A.: A genetic-fuzzy approach for mobile robot navigation among moving obstacles. International Journal of Approximate Reasoning 20(2), 145–172 (1999)

   Article  MATH  Google Scholar 

6. Mucientes, M., Moreno, D.L., Bugarin, A., Barro, S.: Design of a fuzzy controller in mobile robotics using genetic algorithms. Applied Soft Computing 7, 540–546 (2007)

   Article  Google Scholar 

7. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of 1995 IEEE International Conference on Neural Networks, Perth, Australia, pp. 1942–1948 (1995)

   Google Scholar 

8. Clerc, M., Kennedy, J.: The particle swarm - explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation 6(1), 58–73 (2002)

   Article  Google Scholar 

9. Kwok, N.M., Ha, Q.P., Liu, D.K., Fang, G.: Contrast enhancement and intensity preservation for gray-level images using multiobjective particle swarm optimization. IEEE Trans. Automation Science and Engineering 6(1), 145–155 (2009)

   Article  Google Scholar 

10. Kwok, N.M., Ha, Q.P., Nguyen, T.H., Li, J., Samali, B.: A novel hysteretic model for magneto rheological fluid dampers and parameter identification using particle swarm optimization. Sensors & Actuators: A. Physical 132(2), 441–451 (2006)

    Article  Google Scholar 

11. Karakuzu, C.: Fuzzy controller training using particle swarm optimisation for nonlinear system control. ISA Transactions 47, 229–239 (2008)

    Article  Google Scholar 

12. Niu, B., Zhu, Y., He, X., Shen, H.: A multi-swarm optimizer based fuzzy modeling approach for dynamic systems processing. Neurocomputing 71, 1436–1448 (2008)

    Article  Google Scholar 

13. Mukherjee, V., Ghoshal, S.P.: Intelligent particle swarm optimized fuzzy PID controller for AVR system. Electric Power Systems Research 77, 1689–1698 (2007)

    Article  Google Scholar 

14. Lin, C., Hong, S.: The design of neuro-fuzzy networks using particle swarm optimisation and recursive singular value decomposition. Neurocomputing 71, 271–310 (2007)

    Article  Google Scholar 

15. Esmin, A.A.A., Lambert-Torres, G.: Fitting fuzzy membership functions using hybrid particle swarm optimization. In: Proceedings on 2006 IEEE International Conference on Fuzzy Systems, Vancouver, BC, Canada, pp. 2112–2119 (2006)

    Google Scholar 

16. Ali, S.F., Ramaswamy, A.: Optimal fuzzy logic controller for MDOF structural systems using evolutionary algorithms. Engineering Applications of Artificial Intelligence (22), 407–419 (2009)

    Google Scholar 

17. Rao, A.R.M., Sivasubramanian, K.: Multi-objective optimal design of fuzzy logic controller using a self configurable swarm intelligence algorithm. Computers and Structures (86), 2141–2154 (2008)

    Google Scholar 

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