| Share: 
Monitoring and Control of Critical Infrastructure Systems
Abstract: Electronic devices are starting to become widely available for monitoring and controlling large-scale distributed systems. These devices may include sensing capabilities for on-line measurement, actuators for controlling certain variables, microprocessors for processing information and making real-time decisions based on designed algorithms, and telecommunication units for exchanging information with other electronic devices or possibly with human operators.
A collection of such devices may be referred to as a networked intelligent agent system. Such systems have the capability to generate a huge volume of spatial-temporal data that can be used for monitoring and control applications of large-scale distributed systems.
One of the most important research challenges in the years ahead is the development of information processing methodologies that can be used to extract meaning and knowledge out of the ever-increasing electronic information that will become available. Even more important is the capability to utilize the information that is being produced to design software and devices that operate seamlessly, autonomously and reliably in some intelligent manner. The ultimate objective is to design networked intelligent agent systems that can make appropriate real-time decisions in the management of large-scale distributed systems, while also providing useful high-level information to human operators.
One of the most important classes of large-scale distributed systems deals with the reliable operation and intelligent management of critical infrastructures, such as electric power systems, telecommunication networks, water systems, and transportation systems. The design, control and fault monitoring of critical infrastructure systems is becoming increasingly more challenging as their size, complexity and interactions are steadily growing. Moreover, these critical infrastructures are susceptible to natural disasters, frequent failures, as well as malicious attacks. There is a need to develop a common system-theoretic fault diagnostic framework for critical infrastructure systems and to design architectures and algorithms for intelligent monitoring, control and security of such systems.
The goal of this presentation is to motivate the need for health monitoring, fault diagnosis and security of critical infrastructure systems and to provide a fault diagnosis methodology for detecting, isolating and accommodating both abrupt and incipient faults in a class of complex nonlinear dynamic systems. A detection and approximation estimator based on computational intelligence techniques is used for online health monitoring. Various adaptive approximation techniques and learning algorithms will be presented and illustrated, and directions for future research will be discussed.
Biography:
Marios M. Polycarpou is a Professor of Electrical and Computer Engineering and the Director of the KIOS Research Center for Intelligent Systems and Networks at the University of Cyprus. He received the B.A. degree in Computer Science and the B.Sc. degree in Electrical Engineering both from Rice University, Houston, TX, USA in 1987, and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Southern California, Los Angeles, CA, in 1989 and 1992 respectively. In 1992, he joined the University of Cincinnati, Ohio, USA, where he reached the rank of Professor of Electrical and Computer Engineering and Computer Science. In 2001, he was the first faculty to join the newly established Department of Electrical and Computer Engineering at the University of Cyprus, where he served as founding Department Chair from 2001 to 2008. His teaching and research interests are in intelligent systems and control, adaptive and cooperative control systems, computational intelligence, fault diagnosis and distributed agents. Dr. Polycarpou has published more than 200 articles in refereed journals, edited books and refereed conference proceedings, and co-authored the book Adaptive Approximation Based Control, published by Wiley in 2006. He is also the holder of 3 patents.
Prof. Polycarpou served as the Editor-in-Chief of the IEEE Transactions on Neural Networks between 2004-2010. He serves as an Associate Editor of two international journals and is past Associate Editor of the IEEE Transactions on Neural Networks (1998-2003) and of the IEEE Transactions on Automatic Control (1999-2002). He served as the Chair of the Technical Committee on Intelligent Control, IEEE Control Systems Society (2003-05) and as Vice President, Conferences, of the IEEE Computational Intelligence Society (2002-03). He was an elected member of the Board of Governors of the IEEE Control Systems Society, an elected AdCom member of the IEEE Computational Intelligence Society, and the Chair of Awards Committee for the IEEE Computational Intelligence Society. Dr. Polycarpou was the recipient of the William H. Middendorf Research Excellence Award at the University of Cincinnati (1997) and was nominated by students for the Professor of the Year award (1996). He has been invited as Keynote Plenary Speaker at 16 international conferences during the last five years and is currently an IEEE Distinguished Lecturer in computational intelligence. He participated in more than 50 research projects/grants, funded by several agencies and industry in the United States, by the European Commission and by the Research Promotion Foundation of Cyprus. Dr. Polycarpou is a Fellow of the IEEE and the President-Elect of the IEEE Computational Intelligence Society.
VII Escuela de Verano IEEE Latino-americana en Inteligencia Computacional
El Capítulo Chileno Conjunto de la Antennas & Propagation Society y Communication Society del IEEE tiene el agrado de invitarlo a la Conferencia (en inglés) del Dr. Peter de Maagt sobre el tema: “Terahertz Technology for Space and Earth Applications”.
Invitamos a ustedes a asistir a la charla en inglés titulada “A Practitioner’s Guide to Leadership”, dictada por el profesor Barry Shoop, Vicepresidente del IEEE 2010 (Professor of Electrical Engineering and Deputy
El sector energético a nivel mundial enfrenta importantes desafíos en el sector de las energías renovables. Lamentablemente, estas no se desarrollan adecuadamente por diferentes razones, entre las que sobresale la falta de conocimiento y know-how. Instituciones públicas y/o privadas vinculadas al sector, requieren de apoyo técnico y metodológico a fin de implementar tecnologías, estrategias y marcos legales y reglamentarios asociados a las energías renovables.