Performance Comparison of Variants of Hybrid FLANN-DE for Intelligent Nonlinear Dynamic System Identification
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[1] Yongji Wang,et al. Entry trajectory genetic algorithm optimization using legendre pseudospectral method , 2010, Proceedings of the 2010 International Conference on Modelling, Identification and Control.
[2] Lennart Ljung,et al. On-line structure selection for multivariable state-space models , 1982, Autom..
[3] Yi Yu,et al. Time delay Chebyshev functional link artificial neural network , 2019, Neurocomputing.
[4] Stephen A. Billings,et al. Non-linear system identification using neural networks , 1990 .
[5] M. Norouzi,et al. A novel type of trigonometric neural network trained by Extended Kalman Filter , 2011, The Fourth International Workshop on Advanced Computational Intelligence.
[6] Lennart Ljung,et al. Nonlinear black-box modeling in system identification: a unified overview , 1995, Autom..
[7] Sheng Chen,et al. Representations of non-linear systems: the NARMAX model , 1989 .
[8] Goutam Chakraborty,et al. Development of intelligent sensors using Legendre functional-link artificial neural networks , 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.
[10] Alex ChiChung Kot,et al. Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks , 2002, IEEE Trans. Syst. Man Cybern. Part B.
[11] Bernard Widrow,et al. Adaptive Signal Processing , 1985 .
[12] Swati Swayamsiddha,et al. Blind Identification of Nonlinear MIMO System Using Differential Evolution Techniques and Performance Analysis of Its Variants , 2015, 2015 International Conference on Computational Intelligence and Networks.
[13] R. Guidorzi. Canonical structures in the identification of multivariable systems , 1975, Autom..
[14] Dejan J. Sobajic,et al. Neural-net computing and the intelligent control of systems , 1992 .
[15] A. N. Jha,et al. Nonlinear System Identification using Neural Networks , 2007 .
[16] P. Paraskevopoulos,et al. Legendre series approach to identification and analysis of linear systems , 1985 .
[17] T. Johansen. Multi-Objective Identification of FIR Models , 2000 .
[18] Kumpati S. Narendra,et al. Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.
[19] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[20] S. Haykin,et al. Adaptive Filter Theory , 1986 .
[21] Ruqiang Yan,et al. Spline adaptive filter with arctangent-momentum strategy for nonlinear system identification , 2019, Signal Process..
[22] Naira Hovakimyan,et al. Passivity-based neural network adaptive output feedback control for nonlinear nonnegative dynamical systems , 2005, IEEE Transactions on Neural Networks.
[23] Swati Swayamsiddha,et al. Identification of nonlinear dynamic systems using differential evolution based update algorithms and Chebyshev functional link artificial neural network , 2013 .
[25] Ganapati Panda,et al. Identification of nonlinear dynamic systems using functional link artificial neural networks , 1999, IEEE Trans. Syst. Man Cybern. Part B.