[1] G. Rigatos,
Modelling and control for intelligent industrial systems: Adaptive algorithms in robotics and
industrial engineering, Springer, 2011 (monograph). download
[2] G. Rigatos,
Nonlinear control and filtering using differential flatness approaches: applications to electromechanical
systems, Springer, 2015 (monograph) download
[3] G. Rigatos, Adaptive fuzzy control for nonlinear dynamical systems
based on differential flatness theory, IET Control Theory and Applications, 2013.
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[4] G.G. Rigatos, Adaptive fuzzy control for field-oriented induction motor drives,
Neural Computing and Applications, Springer, vol. 21, no. 1, 9-23, 2011. download
[5] G.G. Rigatos and P. Siano, Sensorless Control of Electric Motors with
Kalman Filters: Applications to Robotic and Industrial Systems, Journal of Advanced Robotic Systems (special issue on Robot
Manipulators), 2012. download
[6] G.G. Rigatos, Adaptive fuzzy control of DC motors using state and output
feedback, Electric Power Systems Research, Elsevier, vol. 79, no.11, November 2009, pp. 1579-1592 2009.
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[7] G.G. Rigatos, Particle and Kalman filtering
for state estimation and control of DC motors, ISA Transactions, Elsevier, vol. 48, no. 1, pp. 62-72, 2009.
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[8] G. Rigatos and P. Siano, Sensorless
nonlinear control of induction motors using Unscented Kalman Filtering, IEEE IECON 2012,
38th Intl. Conference of the Industrial Electronics Society, Montreal, Canada, Oct. 2012.
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[9] G. Rigatos and P. Siano, A new concept on
flatness-based control of nonlinear dynamical systems, IEEE INDIN 2015, Cambridge UK, July 2015
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[10] G. Rigatos and P. Siano, Nonlinear H-infinity feedback
control for asynchronous motors of electric trains, ICCMSE 2015, 11th International Conference of Computational
Methods in Sciences and Engineering, Athens, Greece, March 2015. download
[11] G.G. Rigatos, Differential flatness theory
and Extended Kalman Filtering for sensorless control of induction motors, 43rd ISCIE International
Symposium on Stochastic Systems Theory and Its Applications, Japan, 2011. download
[12] G. Rigatos, G. Zhu, H. Yousef and A. Boulkroune, Flatness-based
adaptive fuzzy control of electrostatically actuated MEMS using output feedback, Fuzzy Sets and Systems, Elsevier, 2015.
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[13] G.G. Rigatos, Robust synchronization of coupled neural oscillators
using the Derivative-free nonlinear Kalman Filter, Cognitive Neurodynamics, Springer, 2014. download
[14] G.G. Rigatos, Particle and Kalman filtering for fault diagnosis in DC motors,
IEEE VPPC 2009, IEEE VPPC 2009, IEEE 5th Vehicle Power Propulsion Conference, Michigan, USA, Sep.2009
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