Research results on Intelligent Industrial Systems
Reseach Monographs
[1] G. Rigatos and K. Busawon,
Robotic Manuipulators and Vehicles: Control, Estimation and Filtering, Springer,
2018 (monograph) download / Access online
[2] G. Rigatos,
State-Space Approaches for Modelling and Control in Financial Engineering:
Systems Theory and Machine Learning Methods, Springer, 2017 (monograph) download / Access online
[3] G. Rigatos,
Intelligent Renewable Energy Systems: Modelling and Control, Springer, 2016 (monograph) download / Access online
[4] G. Rigatos,
Nonlinear control and filtering using differential flatness approaches: applications to electromechanical
systems, Springer, 2015 (monograph) download / Access online
[5] G. Rigatos,
Advanced Models of Neural Networks: Nonlinear dynamics and stochasticity in biological neurons, Springer, 2014
(monograph). download / Access online
[6] G. Rigatos,
Modelling and control for intelligent industrial systems: Adaptive algorithms in robotics and
industrial engineering, Springer, 2011 (monograph). download / Access online
[7] G. Rigatos and E. Karapanou,
Advances in Applied Nonlinear Optimal Control, Cambrigde Scholars Publishers, 2020 (monograph). download / Access online
[8] G. Rigatos, M. Abbaszadeh and P. Siano,
Control and estimation of dynamical nonlinear and Partial Differential Equation Systems, IET Publications, 2022
(monograph). download / Access online
[9] G. Rigatos, M. Abbaszadeh and M.A. Hamida,
Nonlinear control, estimation and fault diagnosis for electric power generation, traction and propulsion systems,
in press, 2023 (monograph). download / Access online
