Nonlinear control and filtering using differential flatness approaches: applications to electromechanical systems GG Rigatos Springer, 2015 | 349 | 2015 |
Extended Kalman filtering for fuzzy modelling and multi-sensor fusion G Rigatos, S Tzafestas Mathematical and computer modelling of dynamical systems 13 (3), 251-266, 2007 | 339 | 2007 |
Fuzzy model validation using the local statistical approach G Rigatos, Q Zhang Fuzzy Sets and Systems 160 (7), 882-904, 2009 | 338 | 2009 |
Modelling and control for intelligent industrial systems GG Rigatos adaptive algorithms in robotics and industrial engineering, 2011 | 264 | 2011 |
A derivative-free Kalman filtering approach to state estimation-based control of nonlinear systems GG Rigatos IEEE transactions on industrial electronics 59 (10), 3987-3997, 2011 | 170 | 2011 |
Intelligent Renewable Energy Systems: Modelling and Control GG Rigatos | 153 | 2016 |
Extended Kalman and particle filtering for sensor fusion in motion control of mobile robots GG Rigatos Mathematics and computers in simulation 81 (3), 590-607, 2010 | 138 | 2010 |
Nonlinear Kalman filters and particle filters for integrated navigation of unmanned aerial vehicles GG Rigatos Robotics and Autonomous Systems 60 (7), 978-995, 2012 | 135 | 2012 |
Adaptive fuzzy control of DC motors using state and output feedback GG Rigatos Electric Power Systems Research 79 (11), 1579-1592, 2009 | 113 | 2009 |
Robotic manipulators and vehicles: control, estimation and filtering G Rigatos, K Busawon Springer, 2018 | 108 | 2018 |
Particle filtering for state estimation in nonlinear industrial systems GG Rigatos IEEE Transactions on Instrumentation and Measurement 58 (11), 3885-3900, 2009 | 106 | 2009 |
Nonlinear H-infinity feedback control for asynchronous motors of electric trains G Rigatos, P Siano, P Wira, F Profumo Intelligent Industrial Systems 1, 85-98, 2015 | 103 | 2015 |
Advanced models of neural networks G Rigatos Nonlinear dynamics and stochasticity in biological neurons, Springer, 2013 | 103 | 2013 |
Adaptive fuzzy control for the ship steering problem G Rigatos, S Tzafestas Mechatronics 16 (8), 479-489, 2006 | 102 | 2006 |
Model-based and model-free control of flexible-link robots: A comparison between representative methods GG Rigatos Applied Mathematical Modelling 33 (10), 3906-3925, 2009 | 91 | 2009 |
Nonlinear optimal control of oxygen and carbon dioxide levels in blood G Rigatos, P Siano, D Selisteanu, RE Precup Intelligent Industrial Systems 3, 61-75, 2017 | 89 | 2017 |
Particle and Kalman filtering for state estimation and control of DC motors GG Rigatos ISA transactions 48 (1), 62-72, 2009 | 87 | 2009 |
Mobile robot motion control in partially unknown environments using a sliding-mode fuzzy-logic controller GG Rigatos, CS Tzafestas, SG Tzafestas Robotics and Autonomous Systems 33 (1), 1-11, 2000 | 84 | 2000 |
Sensorless control of distributed power generators with the derivative-free nonlinear Kalman filter G Rigatos, P Siano, N Zervos IEEE Transactions on Industrial Electronics 61 (11), 6369-6382, 2014 | 82 | 2014 |
Parallelization of a fuzzy control algorithm using quantum computation GG Rigatos, SG Tzafestas IEEE Transactions on Fuzzy Systems 10 (4), 451-460, 2002 | 79 | 2002 |