Adaptive least square control in discrete time of robotic arms
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[1] Minho Lee,et al. A robust neural controller for underwater robot manipulators , 2000, IEEE Trans. Neural Networks Learn. Syst..
[2] Fernando A. C. Gomide,et al. Evolving fuzzy systems for pricing fixed income options , 2011, 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS).
[3] Przemyslaw Kazienko,et al. GED: the method for group evolution discovery in social networks , 2012, Social Network Analysis and Mining.
[4] Plamen P. Angelov,et al. PANFIS: A Novel Incremental Learning Machine , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[5] Jau-Woei Perng,et al. Limit-cycle analysis of dynamic fuzzy control systems , 2013, Soft Comput..
[6] José de Jesús Rubio,et al. Evolving intelligent algorithms for the modelling of brain and eye signals , 2014, Appl. Soft Comput..
[7] Edwin Lughofer,et al. On employing fuzzy modeling algorithms for the valuation of residential premises , 2011, Inf. Sci..
[8] Igor Skrjanc,et al. Globally stable direct fuzzy model reference adaptive control , 2003, Fuzzy Sets Syst..
[9] Frank L. Lewis,et al. Robot Manipulator Control: Theory and Practice , 2003 .
[10] Emili Balaguer-Ballester,et al. Identifying sources of non-stationary neural ensemble dynamics , 2013, BMC Neuroscience.
[11] José de Jesús Rubio,et al. Stable and optimal controls of a proton exchange membrane fuel cell , 2014, Int. J. Control.
[12] Sarangapani Jagannathan,et al. Control of a class of nonlinear discrete-time systems using multilayer neural networks , 2001, IEEE Trans. Neural Networks.
[13] Andreas Rauh,et al. Thermal behavior of high-temperature fuel cells: reliable parameter identification and interval-based sliding mode control , 2013, Soft Comput..
[14] Edwin Lughofer,et al. Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications , 2011, Studies in Fuzziness and Soft Computing.
[15] Mohammad Farrokhi,et al. Robust adaptive fuzzy control of twin rotor MIMO system , 2013, Soft Comput..
[16] Jianqiang Yi,et al. Direct adaptive type-2 fuzzy neural network control for a generic hypersonic flight vehicle , 2013, Soft Comput..
[17] Edwin Lughofer,et al. Single-pass active learning with conflict and ignorance , 2012, Evolving Systems.
[18] Igor Skrjanc,et al. Model-Reference Fuzzy Adaptive Control as a Framework for Nonlinear System Control , 2003, J. Intell. Robotic Syst..
[19] Katarzyna Musial,et al. Social networks on the Internet , 2012, World Wide Web.
[20] Bogdan Trawinski,et al. Evolutionary Fuzzy System Ensemble Approach to Model Real Estate Market based on Data Stream Exploration , 2013, J. Univers. Comput. Sci..
[21] Walmir M. Caminhas,et al. A fast learning algorithm for evolving neo-fuzzy neuron , 2014, Appl. Soft Comput..
[22] Wen Yu,et al. Recurrent Neural Networks Training With Stable Bounding Ellipsoid Algorithm , 2009, IEEE Transactions on Neural Networks.
[23] Mahardhika Pratama,et al. GENEFIS: Toward an Effective Localist Network , 2014, IEEE Transactions on Fuzzy Systems.
[24] Jose de Jesus Rubio,et al. Proportional Derivative Control with Inverse Dead-Zone for Pendulum Systems , 2013 .
[25] José de Jesús Rubio,et al. State estimation in MIMO nonlinear systems subject to unknown deadzones using recurrent neural networks , 2013, Neural Computing and Applications.
[26] Qinglai Wei,et al. Multi-objective optimal control for a class of nonlinear time-delay systems via adaptive dynamic programming , 2013, Soft Comput..
[27] Jose de Jesus Rubio,et al. Modified optimal control with a backpropagation network for robotic arms , 2012 .
[28] J. J. Rubio,et al. Identification and control of class of non-linear systems with non-symmetric deadzone using recurrent neural networks , 2014 .
[29] Fuchun Sun,et al. Neural network-based adaptive controller design of robotic manipulators with an observer , 2001, IEEE Trans. Neural Networks.
[30] Jose de Jesus Rubio,et al. Modeling and Control of Wind Turbine , 2013 .
[31] Rong-Jong Wai,et al. Intelligent tracking control for robot manipulator including actuator dynamics via TSK-type fuzzy neural network , 2004, IEEE Trans. Fuzzy Syst..
[32] Bin Wang,et al. A supervised Actor–Critic approach for adaptive cruise control , 2013, Soft Comput..
[33] Mark W. Spong,et al. Robot dynamics and control , 1989 .
[34] J. Humberto Pérez-Cruz,et al. Evolving intelligent system for the modelling of nonlinear systems with dead-zone input , 2014, Appl. Soft Comput..
[35] Plamen P. Angelov,et al. Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network , 2011, IEEE Transactions on Neural Networks.
[36] Fernando Bordignon,et al. Uninorm based evolving neural networks and approximation capabilities , 2014, Neurocomputing.
[37] Stefan Preitl,et al. Novel Adaptive Charged System Search algorithm for optimal tuning of fuzzy controllers , 2014, Expert Syst. Appl..
[38] Stefan Preitl,et al. Convergence stabilization by parameter tuning in Robust Fixed Point Transformation based adaptive control of underactuated MIMO systems , 2010, 2010 International Joint Conference on Computational Cybernetics and Technical Informatics.
[39] Esteban García-Cuesta,et al. User modeling: Through statistical analysis and subspace learning , 2012, Expert Syst. Appl..
[40] Euromoney Publications Plc. Advanced Concepts and Applications , 2021 .