Modelling and control for intelligent industrial systems
GG Rigatos - adaptive algorithms in robotics and industrial …, 2011 - Springer
Incorporating intelligence in industrial systems can help to increase productivity, cut-off
production costs, and to improve working conditions and safety in industrial environments …
production costs, and to improve working conditions and safety in industrial environments …
[图书][B] Control and estimation of dynamical nonlinear and partial differential equation systems: Theory and Applications
Robotic and mechatronic systems, autonomous vehicles, electric power systems and smart
grids, as well as manufacturing and industrial production systems can exhibit complex …
grids, as well as manufacturing and industrial production systems can exhibit complex …
A derivative-free Kalman filtering approach to state estimation-based control of nonlinear systems
GG Rigatos - IEEE transactions on industrial electronics, 2011 - ieeexplore.ieee.org
For nonlinear systems, subject to Gaussian noise, the extended Kalman filter (EKF) is
frequently applied for estimating the system's state vector from output measurements. The …
frequently applied for estimating the system's state vector from output measurements. The …
Improved Hilbert–Huang transform based weak signal detection methodology and its application on incipient fault diagnosis and ECG signal analysis
J Yan, L Lu - Signal Processing, 2014 - Elsevier
In the present study, a weak signal detection methodology based on the improved Hilbert–
Huang transform (HHT) was proposed. Aiming to restrain the end effects of empirical mode …
Huang transform (HHT) was proposed. Aiming to restrain the end effects of empirical mode …
Nonlinear optimal control of oxygen and carbon dioxide levels in blood
Nonlinear H-infinity control is proposed for the regulation of the levels of oxygen and carbon
dioxide in the blood of patients undergoing heart surgery and extracorporeal blood …
dioxide in the blood of patients undergoing heart surgery and extracorporeal blood …
Nonlinear Kalman filters and particle filters for integrated navigation of unmanned aerial vehicles
GG Rigatos - Robotics and Autonomous Systems, 2012 - Elsevier
The paper studies and compares nonlinear Kalman Filtering methods and Particle Filtering
methods for estimating the state vector of Unmanned Aerial Vehicles (UAVs) through the …
methods for estimating the state vector of Unmanned Aerial Vehicles (UAVs) through the …
Nonlinear H-infinity feedback control for asynchronous motors of electric trains
A new method for feedback control of asynchronous electrical machines is introduced, with
application example the problem of the traction system of electric trains. The control method …
application example the problem of the traction system of electric trains. The control method …
Advanced models of neural networks
G Rigatos - Nonlinear dynamics and stochasticity in biological …, 2013 - Springer
This book provides a complete study on neural structures exhibiting nonlinear and
stochastic dynamics. The book elaborates on neural dynamics by introducing advanced …
stochastic dynamics. The book elaborates on neural dynamics by introducing advanced …
Power transformers' condition monitoring using neural modeling and the local statistical approach to fault diagnosis
On-line monitoring of electric power transformers can provide a clear indication of their
status and ageing behavior. This paper proposes neural modeling and the local statistical …
status and ageing behavior. This paper proposes neural modeling and the local statistical …
A New Non-linear H-infinity Feedback Control Approach for Three-phase Voltage Source Converters
This research work introduces a new method for feedback control of power electronics with
non-linear dynamics, using as an application example the problem of three-phase voltage …
non-linear dynamics, using as an application example the problem of three-phase voltage …