Plenary Speakers
Program Committee
Organizing Committee:
Prof. Imre Rudas, IEEE Life Fellow, Obuda University, Budapest, Hungary (General Chair)
Prof. Yuriy S. Shmaliy, IEEE Fellow, Universidad de Guanajuato, Mexico (Honorary Chair)
Prof. Maria Isabella Garcia Planas
Department of Mathematics at the Universitat Politecnica de Catalunya, Barcelona, Spain(General Chair)
Prof. Nikos Mastorakis, Technical University of Sofia, Sofia, Bulgara and Hellenic Naval Academy, Piraeus, Greece(General Co-Chair)
Prof. George Vachtsevanos, Georgia Institute of Technology, Atlanta, Georgia, USA (General Co-Chair)
Prof. Pierre Borne, ex IEEE France Section Chair, IEEE Fellow, Ec Centr de Lille, France (Program Chair)
Technical Committee:
Prof. Ryzard S. Choras, University of Technology & Life Sciences, Bydgoszcz, Poland
Prof. Leon Chua, IEEE Fellow, University of Berkeley, USA
Prof. Aggelos Katsaggelos, IEEE Fellow, Northwestern University, USA
Prof. Panos Pardalos, IEEE Fellow, University of Florida, USA
Prof. Narsingh Deo, IEEE Fellow, University of Central Florida, Orlando, FL, USA
Prof. Wasfy B Mikhael, IEEE Fellow, University of Central Florida Orlando, USA
Prof. Georgios B. Giannakis, IEEE Fellow, University of Minnesota, USA
Prof. Jim Austin, Computer Science, University of York, York, United Kingdom
Prof. Bruno Apolloni, University of Milan, Milan, Italy
Prof. Paolo Gastaldo, University of Genova, Genova, Italy
Prof. Alessandro Di Nuovo, Plymouth University, Plymouth, United Kingdom
Prof. Dominic Palmer-Brown, London Metropolitan University, London, United Kingdom
Prof. Yi Ming Zou, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
Prof. Sebastian Pannasch, Technische Universitaet Dresden, Dresden, Germany
Prof. Yutaka Maeda, Kansai University, Japan
Prof. Andreas Koenig, Technische Universitaet Kaiserslautern, D-67663 Kaiserslautern, Germany
Prof. Jiann-Ming Wu, National Dong Hwa University, Hualien, Taiwan
Prof. Friedhelm Schwenker, Universitat Ulm, 89069 Ulm, Germany
Prof. Juan Ignacio Arribas, Universidad de Valladolid, Valladolid, Spain
Prof. Tienfuan Kerh, National Pingtung University of Science and Technology, Pingtung, Taiwan
Prof. Francesco Camastra, University of Naples - Parthenope, Naples, Italy
Prof. Kyong Joo Oh, Yonsei University, Korea
Prof. Francesco Marcelloni, University of Pisa, Pisa, Italy
Prof. Giorgio Valentini, University of Milan (Milano), Italy
Prof. Zhiyuan Luo, Royal Holloway, University of London, Egham, Surrey, United Kingdom
Prof. Alessio Micheli, Universita di Pisa, Pisa, Italy
Prof. Ping-Feng Pai, National Chi Nan University, Puli, Nantou, Taiwan
Prof. Manwai Mak, Hong Kong Polytechnic University, Hung Hom, Hong Kong
Prof. Alexander Gegov, University of Portsmouth, Portsmouth, United Kingdom
Prof. Anastasios Tefas, Aristotle University of Thessaloniki, Thessaloniki, Greece
Prof. Alessandro Rozza, University of Naples - Parthenope, Naples, Italy
Prof. Dietrich Klakow, Saarland University, Saarbrucken, Germany
Prof. George Mengov, Sofia University St. Kliment Ohridski, Sofia, Bulgaria
Plenary Speakers
1) "Control properties of multiagent dynamical systems modelling brain neural networks" by
Professor Dr. Maria Isabel Garcia-Planas, Department of Mathematics at the "Universitat Politecnica de Catalunya, Barcelona, Spain
https://futur.upc.edu/MariaisabelGarciaPlanas
Abstract: The control of linear dynamical systems is a strategy that the brain uses to control its own intrinsic dynamics. The brain structure can be modelled as a networked system that
is expressly interesting system to control because of the role of the underlying architecture, which predisposes some components to particular control motions. The concept of brain cognitive control defined by neuroscientists is related to the mathematical concept of control defined by physicists, mathematicians, and engineers, where the state of a complex system can be adjusted by a particular input. The in-depth study on the controllability and structural controllability character of linear dynamical systems, despite being very difficult, could help to regulate the brain cognitive function. Small advances in the study can favour the study and action against learning difficulties such as dyscalculia, dyslexia or other disturbances like the phenomena of forgetting. Between different aspects in which we can study the controllability we have the notion of structural controllability and exact controllability. In this talk, we revise these concepts for linear dynamical systems and multiagent neural networks.
Brief Biography of the Speaker: Professor Dr. Maria Isabel Garcia-Planas joined the Department of Mathematics at the "Universitat Politecnica de Catalunya" Barcelona, Spain in 1981. Her work had been centered on Linear Algebra, Systems and Control Theory and neural networks. She has authored over a two hundred papers having been cited more than 500 times and serves on the referee on several indexed scientific journals. She has been plenary Speaker in International Conferences.
2) Optimal Control and Observation of Efficient Motions in Electromagnetic Actuators
Prof. Dr.-Ing. Paolo Mercorelli, Institute of Product and Process Innovation - PPI, Leuphana University of Lueneburg, L?neburg, Germany
https://www.leuphana.de/en/institutes/ppi/staff/paolo-mercorelli.html
Abstract: Camless internal combustion engines offer improvements over traditional engines in terms of torque performance, reduction of emissions, reduction of pumping losses and fuel economy. Theoretically, electromagnetic valve actuators offer the highest potentials for improving efficiency due to their control flexibility. For real applications, however, the valve actuators developed so far suffer from high power consumption and other control problems. In this sense, in the context of real applications of actuators, one key point is the design of the actuator considering its controllability and observability directly in its initial conception together with the reference trajectory to be tracked by the closed loop controller. In this talk, a design technique aimed at minimizing power consumption is proposed. A constrained optimization problem is formulated also in terms of "soft landing" and its solution is approximated by exploiting local flatness and physical properties of the system. To minimize the number of sensors and to realize an optimal observation of the actuator to be controlled an Extended Kalman Filter is proposed. The performance of the designed trajectory is validated via a real valve actuator.
Brief Biography: Paolo Mercorelli received a Ph.D. degree in Systems Engineering from his Alma Mater, Studiorum University of Bologna, Bologna, Italy, in 1998. In 1997, he was a visiting researcher for one year in the Department of Mechanical and Environmental Engineering, University of California, Santa Barbara, USA. He received an award from the Marie Curie Actions research fellowship program sponsored by The European Commission in year 1998. Thanks to this scholarship, from 1998 to 2001, Paolo Mercorelli was a postdoctoral researcher with ABB (Asea Brown Boveri) Corporate Research, Heidelberg, Germany. During the Heidelberg period he introduced, for the first time in ABB, software structures based on wavelet packets for fault detection and data reconciliation and he developed industrial trading software using these wavelet packets. He was the inventor cited in three patents in which the applicant was ABB Zuerich. Moreover, these wavelet packet structures were implemented and integrated in the Inferential Modelling Platform of the Advanced Control and Simulation Solution Responsible Unit within the ABB industry division. From 2002 to 2005, he was a senior researcher with the Institute of Automation and Informatics, Wernigerode, Germany, where he was the leader of the control group. From 2005 to 2011, Paolo Mercorelli was an Associate Professor of Process Informatics with Ostfalia University of Applied Sciences, Wolfsburg, Germany. In Wolfsburg, he was involved in various projects with the Volkswagen AG Research Center developing different control systems which have been implemented in production series of vehicles as, for instance, the control algorithms for Intelligent Parking Assist System. Since 2012 he has had the position of Full Professor and Head of the Chair of Control and Drive Systems at the Institute of Product and Process Innovation, Leuphana University of Lueneburg, Lueneburg, Germany. Since 2018 he has obtained an international visiting professor fellowship at the Institute of Automatic Control of Lodz University of Technology (Poland) and he is responsible for two courses at the Master's in "Automation and Robotics". In Fall 2019 he was visiting Professor at the University of Miskolc (Hungary) giving lectures at the Master's and PhD programs. His actual interests include Applications with Kalman Filters, Robotics, Wavelets, Geometric Control, Sliding Mode Control and Application with Sliding Mode Control.