Astrom K J, Wittenmark B. Adaptive Control. Massachusetts Addison-Wesley: 1995
[2]
Dai Dong, Ma Xi-Kui, Li Fu-Cai, You Yong. An approach of parameter estimation for a chaotic system based on genetic algorithm. Acta Physica Sinica, 2002, 51(11): 2459-2462
[3]
Billings S A, Mao K Z. Structure for detection for nonlinear rational models using genetic algorithms. International Journal of Systems Science, 1998, 29(3): 223-231
[4]
Kennedy J, Eberhart R C. Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks. Perth, Australia: IEEE, 1995. 1942-1948
[5]
Kennedy J, Eberhart R C. The particle swarm: social adaptation in informal-processing systems. New Ideas in Optimization. Maidenhead: McGraw-Hill, UK, 1999. 379-387
[6]
He Q, Wang L, Liu, B. Parameter estimation for chaotic systems by particle swarm optimization. Chaos, Solitons and Fractals, 2007, 34(2): 654-661
[7]
Tang Y G, Guan X P. Parameter estimation for time-delay chaotic system by particle swarm optimization, Chaos, Solitons and Fractals, 2009, 40(3): 1391-1398
[8]
Gaing Z L. A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Transactions on Energy Conversion, 2004, 19(2): 384-391
[9]
Chatterjee A, Siarry P. Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization, Computers and Operations Research, 2006, 33(3): 859-871
[10]
Jiao B, Lian Z G, Gu X S. A dynamic inertia weight particle swarm optimization algorithm. Chaos, Solitons and Fractals, 2008, 37(3): 698-705
[11]
Shi Y H, Eberhart R C. Parameter selection in particle swarm optimization. In: Proceedings of the 7th International Conference on Evolutionary Programming. London, UK: Springer-Verlag, 1998. 591-600
[12]
Chen J Y, Qin Z, Liu Y, Lu J. {Particle Swarm Optimization with Local Search}. In: Proceedings of the IEEE International Conference Neural Networks and Brains. Beijing, China: IEEE, 2005. 481-484
[13]
Modares H, Alfi A, Fateh M M. Parameter identification of chaotic dynamic systems through an improved particle swarm optimization. Expert Systems with Applications, 2010, 37(5): 3714-3720
[14]
Modares H, Alfi A, Sistani M B N. Parameter estimation of bilinear systems based on an adaptive particle swarm optimization. Engineering Applications of Artificial Intelligence, 2010, 23(7): 1105-1111
[15]
Grefenstette J J. Optimization of control parameters for genetic algorithms. IEEE Transactions on Systems, Man and Cybernetics, 1986, 16(1): 122-128
[16]
Chang W D. Nonlinear system identification and control using a real-coded genetic algorithm. Applied Mathematical Modeling, 2007, 31(3): 541-550
[17]
K?mürcü M I, Tutkun N, ?z?l?er I H. Akpinar A. Estimation of the beach bar parameters using the genetic algorithms. Applied Mathematics and Computation, 2008, 195(1): 49-60
[18]
Bergh F V, Engelbrecht A P. A study of particle swarm optimization particle trajectories. Information Sciences, 2006, 176(8): 937-971
[19]
Eberhart R C, Shi Y H. Particle swarm optimization: developments, applications and resources. In: Proceedings of the Congress on Evolutionary Computation. Seoul, South Korea: IEEE, 2001. 81-86
[20]
Ye M Y. Parameter identification of dynamical systems based on improved particle swarm optimization. Lecture Nates in Control and Information Sciences, Springer-Verlag Berlin Heidelberg, 2006. 351-360
[21]
Lin C J, Lee C Y. Non-linear system control using a recurrent fuzzy neural network based on improved particle swarm optimisation, International Journal of Systems Science, 2010, 41(4): 381-395
[22]
Andrews P S. An investigation into mutation operators for particle swarm optimization. In: {Proceedings of the IEEE Congress on Evolutionary Computation}. Vancouver, Canade: IEEE, 2006. 1044-1051
[23]
Higasshi N, Iba H. Particle swarm optimization with Gaussian mutation, In: Proceedings Swarm Intelligence Symposium. Washington D.C., USA: IEEE, 2003. 72-79
[24]
Stacey A, Jancic M, Grundy I. Particle swarm optimization with mutation, In: Proceedings of the IEEE Congress on Evolutionary Computation, Washington D.C., USA: IEEE, 2003. 1425-1430
[25]
Yang X M, Yuan J S, Yuan J Y, Mao H N. A modified particle swarm optimizer with dynamic adaptation. Applied Mathematics and Computation, 2007, 189(2): 1205-1213
[26]
Alfi A, Modares H. System identification and control using adaptive particle swarm optimization. Applied Mathematical Modelling, 2011, 35(3): 1210-1221
[27]
Alatas B, Akin E, Ozer A B. Chaos embedded particle swarm optimization algorithms. Chaos, Solitons and Fractals, 2009, 40(4): 1715-1734
[28]
Griewank A O. Generalized descent of global optimization. Journal of Optimization Theory and Applications, 1981, 34(1): 11-39
[29]
Schaffer J D, Caruana R. A Eshelman L J, Das R A. Study of control parameters affecting online performance of genetic algorithms for function optimization, In: Proceedings of the 3rd International Conference on Genetic Algorithms. San Francisco, USA: Morgan Kaufmann Publishers, 1989. 51-60