MIMO Probability Density Function Control Using Simple LOG-MLP Neural Networks
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[1] M. Kramer. Nonlinear principal component analysis using autoassociative neural networks , 1991 .
[2] K. Åström. Introduction to Stochastic Control Theory , 1970 .
[3] Hong Wang,et al. Bounded Dynamic Stochastic Systems: Modelling and Control , 2000 .
[4] T. Poggio,et al. Networks and the best approximation property , 1990, Biological Cybernetics.
[5] Hong Wang,et al. Recent Developments in Stochastic Distribution Control/A Review , 2003 .
[6] William W. Hsieh,et al. Nonlinear principal component analysis by neural networks , 2001 .
[7] Miroslav Kárný,et al. Towards fully probabilistic control design , 1996, Autom..
[8] Hong Wang,et al. Bounded Dynamic Stochastic Distributions Modelling and Control , 2000 .
[9] Hong Wang,et al. Robust control of the output probability density functions for multivariable stochastic systems with guaranteed stability , 1999, IEEE Trans. Autom. Control..
[10] Hong Wang,et al. Bounded Dynamic Stochastic Systems , 2012 .
[11] Jianhua Zhang,et al. Bounded stochastic distributions control for pseudo-ARMAX stochastic systems , 2001, IEEE Trans. Autom. Control..