A neural network controller for systems with unmodeled dynamics with applications to wastewater treatment
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[1] Takayuki Yamada,et al. Dynamic system identification using neural networks , 1993, IEEE Trans. Syst. Man Cybern..
[2] J. Spall,et al. Nonlinear adaptive control using neural networks: estimation with a smoothed form of simultaneous perturbation gradient approximation , 1994, Proceedings of 1994 American Control Conference - ACC '94.
[3] Ken-ichi Funahashi,et al. On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.
[4] K Y San,et al. The design of controllers for batch bioreactors , 1988, Biotechnology and bioengineering.
[5] Daniel Sbarbaro,et al. Neural Networks for Nonlinear Internal Model Control , 1991 .
[6] J. Spall. Multivariate stochastic approximation using a simultaneous perturbation gradient approximation , 1992 .
[7] Isabelle Guyon,et al. Neural Network Implementation of Admission Control , 1990, NIPS.
[8] H. Kushner,et al. Asymptotic Properties of Stochastic Approximations with Constant Coefficients. , 1981 .
[9] Denis Dochain,et al. Adaptive identification and control algorithms for nonlinear bacterial growth systems , 1984, Autom..
[10] S. Yakowitz. A globally convergent stochastic approximation , 1993 .
[11] V Van Breusegem,et al. Implementation of an adaptive controller for the startup and steady‐state running of a biomethanation process operated in the CSTR mode , 1991, Biotechnology and bioengineering.
[12] Model-free control of nonlinear stochastic systems in discrete time , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.
[13] D. S. Bayard. A forward method for optimal stochastic nonlinear and adaptive control , 1991 .
[14] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[15] T. Soderstrom,et al. Stationary performance of linear stochastic systems under single step optimal control , 1982 .
[16] Kurt Hornik,et al. Convergence of learning algorithms with constant learning rates , 1991, IEEE Trans. Neural Networks.
[17] Hideaki Sakai,et al. A nonlinear regulator design in the presence of system uncertainties using multilayered neural network , 1991, IEEE Trans. Neural Networks.
[18] K.M. Passino,et al. Bridging the gap between conventional and intelligent control , 1993, IEEE Control Systems.
[19] John F. Andrews,et al. Dynamic models and control strategies for wastewater treatment processes , 1974 .
[20] Kumpati S. Narendra,et al. Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.
[21] J Thibault,et al. On‐line prediction of fermentation variables using neural networks , 1990, Biotechnology and bioengineering.
[22] M. A. Styblinski,et al. Experiments in nonconvex optimization: Stochastic approximation with function smoothing and simulated annealing , 1990, Neural Networks.
[23] Kumpati S. Narendra,et al. Gradient methods for the optimization of dynamical systems containing neural networks , 1991, IEEE Trans. Neural Networks.
[24] D. C. Chin,et al. A more efficient global optimization algorithm based on Styblinski and Tang , 1994, Neural Networks.
[25] A. Benveniste,et al. A measure of the tracking capability of recursive stochastic algorithms with constant gains , 1982 .
[26] Stochastic Version Of Second-Order Optimization Using Only Function Measurements , 1996 .
[27] J. Spall,et al. Direct adaptive control of nonlinear systems using neural networks and stochastic approximation , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.
[28] F.-C. Chen,et al. Back-propagation neural networks for nonlinear self-tuning adaptive control , 1990, IEEE Control Systems Magazine.
[29] J. Spall,et al. Stochastic approximation for neural network weight estimation in the control of uncertain nonlinear systems , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.
[30] Dejan J. Sobajic,et al. Neural-net computing and the intelligent control of systems , 1992 .