Gerasimos Rigatos

Gerasimos RigatosDr. G. Rigatos, obtained a diploma (1995) and a Ph.D. (2000) both from the Department of Electrical and Computer Engineering, of the National Technical University of Athens (NTUA), Greece. In 2001 he was a post-doctoral researcher at the Institut de Recherche en Informatique et Systèmes Aléatoires IRISA, in Rennes France. Since 2002 he holds a Researcher position (Grade B) at the Industrial Systems Institute (Greek Secretariat for Research and Technology), on the topic of “Modelling and Control of Industrial Systems”. In 2007 he was an invited professor (maître des conférences) at Université Paris XI (Institut d’ Electronique Fondamentale). In 2012 he held a Lecturer Position at the Department of Engineering, of Harper-Adams University College, in Shropshire, UK on the topic of “Mechatronics and Artificial Intelligence". He has been also an adjunct professor in Greek Universities where he has taught courses on systems and control theory. His research interests include the areas of computational intelligence and adaptive systems, mechatronics, robotics and control, optimization and fault diagnosis. He is Editor-in-Chief of the Springer journal on “Intelligent Industrial Systems”, a Senior Member of IEEE, a Member and CEng of IET and a member of IMACS.

Publications

Distributed Parameter Systems Control and Its Applications to Financial Engineering
Distributed Parameter Systems Control and Its Applications to Financial Engineering
Gerasimos G. Rigatos, Pierluigi Siano. © 2019. 29 pages.
The chapter analyzes differential flatness theory for the control of single asset and multi-asset option price dynamics, described by PDE models. Through these control methods...
Distributed Parameter Systems Control and Its Applications to Financial Engineering
Distributed Parameter Systems Control and Its Applications to Financial Engineering
Gerasimos Rigatos, Pierluigi Siano. © 2018. 21 pages.
The chapter analyzes differential flatness theory for the control of single asset and multi-asset option price dynamics, described by PDE models. Through these control methods...
Structural Condition Monitoring with the Use of the Derivative-Free Nonlinear Kalman Filter
Structural Condition Monitoring with the Use of the Derivative-Free Nonlinear Kalman Filter
Gerasimos Rigatos, Argyris Soldatos. © 2015. 31 pages.
The chapter proposes structural condition monitoring for buildings and mechanical structures using a new nonlinear filtering method under the name Derivative-Free Nonlinear...
Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior
Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior
Gerasimos Rigatos. © 2010. 601 pages.
In recent years, there has been growing interest in industrial systems, especially in robotic manipulators and mobile robot systems. As the cost of robots goes down and become...
Technical Analysis and Implementation Cost Assessment of Sigma-Point Kalman Filtering and Particle Filtering in Autonomous Navigation Systems
Technical Analysis and Implementation Cost Assessment of Sigma-Point Kalman Filtering and Particle Filtering in Autonomous Navigation Systems
Gerasimos G. Rigatos. © 2010. 27 pages.
The chapter provides technical analysis and implementation cost assessment of Sigma-Point Kalman Filtering and Particle Filtering in autonomous navigation systems. As a case...
An Adaptive Framework for Power Components Dynamic Loadability
An Adaptive Framework for Power Components Dynamic Loadability
Antonio Piccolo, Pierluigi Siano, Gerasimos Rigatos. © 2010. 25 pages.
In electrical competitive markets, where deregulation and privatisation have determined changes in the organizational structures of the electricity supply industry as well as in...