Design of sliding-mode observers and filters for nonlinear dynamic systems, Proceedings of the 39th IEEE Conference on Decision and Control, vol.3, pp.2593-2598, 2000. ,

A recurrent neural network based MPC for a hybrid neuroprosthesis system, IEEE 56th Annual Conference on Decision and Control, pp.4715-4720, 2017. ,

An adaptive highgain observer for nonlinear systems, 36th IEEE Conference on Decision and Control, pp.4348-4353, 1997. ,

A nonlinear disturbance observer for robotic manipulators, IEEE Transactions on industrial Electronics, vol.47, issue.4, pp.932-938, 2000. ,

Approximation by superpositions of a sigmoidal function, Mathematics of control, signals and systems, vol.2, issue.4, pp.303-314, 1989. ,

Backpropagation algorithms for a broad class of dynamic networks, IEEE Transactions on Neural Networks, vol.18, issue.1, pp.14-27, 2007. ,

The use of narx neural networks to predict chaotic time series, Wseas Transactions on computer research, vol.3, issue.3, pp.182-191, 2008. ,

The levenberg-marquardt method for nonlinear least squares curve-fitting problems. Department of, 2017. ,

Observers for discrete-time nonlinear systems, 1999. ,

Neural network design, vol.20, 1996. ,

Kalman filtering and neural networks, vol.47, 2004. ,

Adaptive neural network model predictive control, International Journal of Innovative Computing, Information and Control, vol.9, issue.3, pp.1245-1257, 2013. ,

A new approach to linear filtering and prediction problems, Journal of basic Engineering, vol.82, issue.1, pp.35-45, 1960. ,

Receding horizon control of an f-16 aircraft: A comparative study, Control Engineering Practice, vol.14, issue.9, pp.1023-1033, 2006. ,

Neural network observer for nonlinear systems application to induction motors, International Journal of Control and Automation, vol.3, issue.1, pp.1-16, 2010. ,

A method for the solution of certain non-linear problems in least squares, Quarterly of applied mathematics, vol.2, issue.2, pp.164-168, 1944. ,

An algorithm for least-squares estimation of nonlinear parameters, Journal of the society for Industrial and Applied Mathematics, vol.11, issue.2, pp.431-441, 1963. ,

On the difficulty of training recurrent neural networks, In International Conference on Machine Learning, pp.1310-1318, 2013. ,

Extensions and enhancements of decoupled extended kalman filter training, International Conference on Neural Networks, vol.3, pp.1879-1883, 1997. ,

Neural network-based state estimation schemes, Neural Network-Based State Estimation of Nonlinear Systems, pp.15-35, 2010. ,

Extended kalman filter tutorial. Department of, 2008. ,

Nonlinear modelpredictive control with disturbance rejection property using adaptive neural networks, Journal of the Franklin Institute, vol.354, issue.13, pp.5201-5220, 2017. ,

The unscented kalman filter for nonlinear estimation, Adaptive Systems for Signal Processing, pp.153-158, 2000. ,

Beyond regression: New tools for prediction and analysis in the behavioral sciences, 1974. ,

Backpropagation through time: what it does and how to do it, Proceedings of the IEEE, vol.78, issue.10, pp.1550-1560, 1990. ,

A learning algorithm for continually running fully recurrent neural networks, Neural computation, vol.1, issue.2, pp.270-280, 1989. ,

Implementation of neural network predictive control to a multivariable chemical reactor, Control Engineering Practice, vol.11, issue.11, pp.1315-1323, 2003. ,

State space neural network. properties and application, Neural networks, vol.11, issue.6, pp.1099-1112, 1998. ,