G. Rigatos,
Modelling and control for intelligent industrial systems: Adaptive algorithms in robotics and
industrial engineering, Springer, 2011 (monograph). download
 G. Rigatos,
Nonlinear control and filtering using differential flatness approaches: applications to electromechanical
systems, Springer, 2015 (monograph) download
 G. Rigatos, Adaptive fuzzy control for nonlinear dynamical systems
based on differential flatness theory, IET Control Theory and Applications, 2013.
 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
 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
 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.
 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.
 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.
 G. Rigatos and P. Siano, A new concept on
flatness-based control of nonlinear dynamical systems, IEEE INDIN 2015, Cambridge UK, July 2015
 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
 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
 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.
 G.G. Rigatos, Robust synchronization of coupled neural oscillators
using the Derivative-free nonlinear Kalman Filter, Cognitive Neurodynamics, Springer, 2014. download
 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