A hybrid CKF-NNPID controller for MIMO nonlinear control system
暂无分享,去创建一个
[1] Yong Huang,et al. Convergence Study in Extended Kalman Filter-Based Training of Recurrent Neural Networks , 2011, IEEE Transactions on Neural Networks.
[2] A. N. Chernodub. Local control gradients criterion for selection of neuroemulators for model reference adaptive neurocontrol , 2012, Optical Memory and Neural Networks.
[3] A. Mitchell. Online Courses and Online Teaching Strategies in Higher Education , 2014 .
[4] Behrouz Safarinejadian,et al. Predict time series using extended, unscented, and cubature Kalman filters based on feed-forward neural network algorithm , 2013, The 3rd International Conference on Control, Instrumentation, and Automation.
[5] Yuttana Kitjaidure,et al. Neural network controller based on PID using an extended Kalman filter algorithm for multi-variable non-linear control system , 2016, 2016 Eighth International Conference on Advanced Computational Intelligence (ICACI).
[6] Feng Ding,et al. A neural network learning algorithm of chemical process modeling based on the extended Kalman filter , 2007, Neurocomputing.
[7] S. Haykin. Kalman Filtering and Neural Networks , 2001 .
[8] S. Haykin,et al. Cubature Kalman Filters , 2009, IEEE Transactions on Automatic Control.
[9] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[10] Simon Haykin,et al. Nonlinear Bayesian Filters for Training Recurrent Neural Networks , 2008, MICAI.
[11] Rudolph van der Merwe,et al. The unscented Kalman filter for nonlinear estimation , 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).
[12] Hideaki Sakai,et al. A real-time learning algorithm for a multilayered neural network based on the extended Kalman filter , 1992, IEEE Trans. Signal Process..
[13] Léon Personnaz,et al. A recursive algorithm based on the extended Kalman filter for the training of feedforward neural models , 1998, Neurocomputing.
[14] C. M. Soria,et al. Design and Implementation of Adaptive Neural PID for Non Linear Dynamics in Mobile Robots , 2015, IEEE Latin America Transactions.
[15] Vikas Kumar,et al. ANN based self tuned PID like adaptive controller design for high performance PMSM position control , 2014, Expert Syst. Appl..
[16] Wen Yu,et al. Neural PID Control of Robot Manipulators With Application to an Upper Limb Exoskeleton , 2013, IEEE Transactions on Cybernetics.
[17] Ho Pham Huy Anh,et al. Online tuning gain scheduling MIMO neural PID control of the 2-axes pneumatic artificial muscle (PAM) robot arm , 2010, Expert Syst. Appl..
[18] Vicente Parra-Vega,et al. Neuro-fuzzy self-tuning of PID control for semiglobal exponential tracking of robot arms , 2014, Appl. Soft Comput..
[19] Weigong Zhang,et al. Prediction of Military Vehicle’s Drawbar Pull Based on an Improved Relevance Vector Machine and Real Vehicle Tests , 2016, Sensors.
[20] Rogelio Soto,et al. An Optimal Fuzzy Self-Tuning PID Controller for Robot Manipulators via Genetic Algorithm , 2009, 2009 Eighth Mexican International Conference on Artificial Intelligence.
[21] Shuang Cong,et al. PID-Like Neural Network Nonlinear Adaptive Control for Uncertain Multivariable Motion Control Systems , 2009, IEEE Transactions on Industrial Electronics.
[22] Víctor Santibáñez,et al. Fuzzy Self-Tuning PID Semiglobal Regulator for Robot Manipulators , 2012, IEEE Transactions on Industrial Electronics.
[23] Ying Liu,et al. Prediction for noisy nonlinear time series by echo state network based on dual estimation , 2012, Neurocomputing.