PROGRAM

11th WSEAS International Conference on SYSTEMS

Agios Nikolaos, Crete Island, Greece, July 23-25, 2007

Monday, July 23 2007

PLENARY LECTURE 1

Key Technologies in Next Generation Optical Networks

Professor Leonid Kazovsky

Photonic & Networking Research Laboratory (PNRL)

Stanford University, USA

kazovsky@stanford.edu

Abstract: Due to advances in photonics technologies and worldwide deployment of optical fibers, optical core transport networks have experienced an extraordinary increase of transmission capacity during the last decade. As long-haul optical networks and technologies were successfully deployed for inter- and cross-continental links, access networks and, to a lesser extent, metro networks emerge as the main challenge in terms of capacity, service and cost. New technologies need to be addressed for next generation optical networks include:

• Passive optical access networks evolving from TDM to WDM;

• Convergence of optical and wireless technologies;

• Efficient and transparent connectivity across access, metro and backbone networks;

• Burst-mode transmission underlying the aforementioned technologies.

This talk will discuss the opportunities and challenges in next generation optical networks, and present research results and future research directions in network architecture, routing algorithms and key enabling technologies.

PLENARY LECTURE 2

Numerical and Parametrical Optimisation for the Simulation of a

Turbulent Combustion Phenomenon in a Well-Stirred Reactor in Steady

State Conditions

Professor Vincenzo Niola

Department of Mechanical Engineering for Energetic

University of Naples “Federico II”

ITALY

E-mail: vincenzo.niola@unina.it

Abstract: Actually, the aggregated energy demand is growing up very quickly. To solve the global energetic problem, we have to rationalise all sources not only optimising processes, but also trying to use all possible renewal combustibles. Adjective renewal means available, not necessarily abundant, however capable of burning with low pollutant emissions. In this work we focused our attention to find a way to optimise a particular combustion process with liquid fuel; therefore, an hypothetical success would give a considerable contribute about disposing of waste. Preliminarily, we predispose an analysis CFD kind, using it like a powerful support to experimental techniques to investigate and to improve combustion efficiency (especially for turbulence combustion) and to explore some possible applications. In particular, we prepare a code to model the whole process, try to solve the mixing process of reactants for given inlet conditions settings, introducing some peculiar tools to represent the diffusion phenomena in a correct way. So interactions between combustible and air will be simulated and analyzed to make it repeatable successively also in an experimental context; logical purpose is to find out the best relationship of fluid dynamic parameters, such as inlet injection velocity, air exceed, temperature, pressure. A special attention will be paid to numerical stability to define the measure of quality level of combustive process. Initially, simulation will be managed according to a RANS approach, therefore the results will be used to examine carefully the problem with a LES one. This second way is more complex and, as well known, it’s more computational expansive, but, on the other side, it assures more reliability to results. This research aims to investigate the way to dispose of exhaust oils at a low price, according to environmental requirements, recovering energy. Otherwise this could be useful in the same way. In fact, disposing of exhaust oils is a problem, so burning them could become alternative way to rid of exhaust oils respecting environmental prescription. Last, in a context of energetic crisis it could be necessary to use exhaust oils (and equally other renewal sources) to recovery energy.

PLENARY LECTURE 3

Study of controllability of two-order singular systems under an

algebraic point of view

Professor M. Isabel Garcia-Planas

Departament de Matematica Aplicada I

Universitat Politecnica de Catalunya

C. Mineria 1, Esc C, 1o-3a

08038 Barcelona, Spain

E-mail: maria.isabel.garcia@upc.edu 

PLENARY LECTURE 4

Will we ever tackle the Problem of Environmental Pollution?

 

Professor Le Yi Wang

Department of Electrical and Computer Engineering

Wayne State University

Detroit, Michigan 48202

USA

Email: lywang@indigo.eng.wayne.edu

Abstract: Binary-valued or quantized sensors are employed in many practical systems. Typical examples include switching sensors for exhaust gas oxygen, traffic condition indicators in the ATM (asynchronous transmission mode), neural networks. More important, the new paradigm of sensor networks, networked systems and control, e-health systems for remote monitoring, diagnosis, etc. mandate that signals must be sent over a communication network, and hence must be quantized. In other words, pursuing modeling and control of systems that involve communication channels will need, as a foundation, identification and complexity analysis of system identification with quantized observations.

In this talk, recent advances will be presented on system identification with binary or quantized observations. We will start with the fundamental aspects of identification algorithms, strong convergence, convergence rates, and algorithm efficiency (optimality). Findings from these fundamental issues are then employed to understand such identification problems in various system and environment settings, including different system models (gain, finite impulse response, and rational systems), joint identification of systems and noise distributions, impact of communication channels on identification accuracy and speed, selection of quantization thresholds, etc.

SESSION: Optimal Control and Controllers

Chair: Konstantinos Arvanitis, Petr Pivonka

SESSION: Control – Sensors and Applications

Chair: Emine Dogru Bolat, Bohumil Sulc

SESSION: GPS Systems and Navigation

Chair: Chang-Wan Jeon, Virgil Tiponut

SESSION: Speech and Image Systems, Segmentation and Analysis

Chair: Karlheinz Spindler, Jose Italo Cortez

SESSION: Systems – Faults Detections and Wavelet Transforms

Chair: Guangrong Shen, Ernst D. Schmitter

Tuesday, July 24 2007

SPECIAL SESSION: Intelligent Systems

Chair: Valeri Mladenov, Snejana Yordanova

SESSION: Identification Systems and Applications

Chair: Edson Paladini, Petr Pivonka

SESSION: Wireless Communication - Network Sensors and authedication

Chair: Paolo Di Giamberardino, Le Yi Wang

SESSION: Systems – Switching Control and Optimization

Chair: Oscar Barambones, Carmen Simion

SESSION: Knowledge System, Risk and Applications

Chair: Dana Klimešová, Seta Kazuhisa

Wednesday, July 25 2007

SESSION: Optimization Algorithms and Modeling

Chair: C. K. Loo, Milos Seda

SESSION: Power Flow – Control Systems and Simulations

Chair: Corneliu Botan, Chengmin Wang

SESSION: System - Control and Organization

Chair: Chengmin Wang, C. K. Loo

PLENARY LECTURE 5

A New Look at Convexity, Duality, and Optimization

Professor Dimitri P. Bertsekas
McAfee Professor of Engineering

Massachusetts Institute of Technology

77 Massachusetts Ave.

Lab. for Information and Decision Systems

Rm 32-660D

Cambridge, MA 02139

Email: dimitrib@mit.edu

http://web.mit.edu/dimitrib/www/home.html

Abstract: This talk will review a recent book treatment of convex analysis and optimization. While the subject of the book is classical, the treatment of several of its important topics is new and in some cases relies on new research. The new lines of analysis include:
(a) A unified framework for minimax theory and constrained optimization duality as special cases of duality between two simple geometrical problems. Within this framework, the fundamental constraint qualifications needed for strong duality and existence of saddle points are quite apparent, and admit straightforward proofs.
(b) A unification of conditions for existence of solutions of convex optimization problems, conditions for the minimax equality to hold, and conditions for the absence of a duality gap in constrained optimization. This unification is based on conditions guaranteeing that a nested family of closed convex sets has a nonempty intersection.
(c) A unification of the major constraint qualifications that guarantee the existence of Lagrange multipliers for nonconvex constrained optimization. This unification is achieved through the notion of constraint pseudonormality, which is motivated by an enhanced form of the Fritz John necessary optimality conditions.
(d) The development of incremental subgradient methods for dual optimization, and the analysis of their advantages over classical subgradient methods.