Chen S, Billings S A. Representations of nonlinear systems: The NARMAX model[J]. Int J of Control, 1989, 49(3): 1013-1032.
[2]
Mohamed M, M’hiri R. An approach to polynomial NARX/NARMAX systems identification in a closed loop with variable structure control[J]. Int J of Automation and Computing, 2008, 5(3): 313-318.
(Wang X, Xie J Y, Jia Q. New modified integrated algoritm for structrue determination and parameter estimation for nonlinear stochastic systems[J]. Information and Control, 2000, 29(2): 102-110.)
[5]
Ferreira C. Gene expression programming: A new adaptive algorithm for solving problems[J]. Complex Systems, 2001, 13(2): 87-129.
[6]
Wolpert D H, Macteady W G. No free lunch theorems for optimization[J]. IEEE Trans on Evolutionary Computation, 1997, 1(1): 67-82.
[7]
Yan Bai, Yaochun Zhu, Yiheng Jiang. A new nonlinear system identification method using gene expression programming[C]. Proc of the 2007 IEEE Int Conf on Mechatronics and Automation. Harbin, 2007: 2951-2956.
[8]
龚非力. 医学免疫学[M]. 北京: 科学出版社, 2003: 18-66.
[9]
(Gong F L. Medical immunology[M]. Beijing: Science Press, 2003: 18-66.)
(Yuan C A, Peng Y Z, Qin X, et al. Theory and applications for gene expression programming[M]. Beijing: Science Press, 2010: 21-69.)
[12]
Vazquez K R, Fonseca C M, Fleming P J. Identifying the structure of nonLinear dynamic systems using multiobjective genetic programming[J]. IEEE Trans on Systems, Man, and Cybernetics—Part A: System and Humans, 2004, 34(4): 531-545.
(Zhu M F, Tang C J, Dai S C, et al. Naive gene expression programming based on genetic neutrality[J]. J o f Computer Research and Development, 2010, 47(2): 292-299.)
[15]
Zhou Xia, Shen Jiong, Sheng Jianxian. An immune recognition based algorithm for finding non-dominated set in multiobjective optimization[C]. IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application. Wuhan, 2008: 305-310.