Professor: Ioan DUMITRACHE - Romania, Corresponding Member of Romanian Academy
Title: Bio-inspired Techniques for Autonomous Control Systems
Abstract: The paper is a short synthesis of the most important bio-inspired techniques applied in technical systems. New generation of Intelligent Control Systems are presented, based on the Cyber-Physical Systems (CPS) concept, which includes autonomy, self-optimization, self-organization, distributed intelligence and real emergence as main attributes. Hybridization of intelligent methodologies, fuzzy logic, neural networks, knowledge-based architectures and evolutionary programming in associative systems create real support to integrate computational intelligence into advanced control systems. Some bio-inspired optimization algorithms as evolution strategies and swarm intelligence are presented; ant colony optimization is analyzed in the “intelligence and control” context. Cognitive agents and coordinated control of multi-agent systems considering the collective biological behavior are presented in the context of cognitive and biological manufacturing systems. The paper opens a new perspective where a better understanding of biological systems may lead to the creation of a next generation of intelligent/ autonomous complex systems with a real emergent behavior.
Biography: Ioan Dumitrache received his PhD in Electric Automation from Politehnica University of Bucharest (PUB), Romania in 1970. He joined the staff of PUB in 1962, reaching full professorship in 1982 at the Department of Automation. He has completed research internships in the USA, Germany and France. Prof. Dumitrache researches in algorithms and advanced control strategies, robotics, intelligent manufacturing, bioprocesses. He has authored more than 20 books and monographs in control engineering and has edited 16 volumes of national and international conferences in automation and information technology. Prof. Dumitrache is Member of the Academy of Technical Sciences, Corresponding Member of the Romanian Academy and President of the Romanian Society of Automation and Technical Informatics (SRAIT).
Professor: Visakan KADIRKAMANATHAN, Director, Rolls-Royce University Technology Centre in Control and Monitoring Systems Engineering Department of Automatic Control and Systems Engineering University of Sheffield, U.K.
Title: Spatio-Temporal Model Estimation and Identification - Applications in Engineering, Life and Social Sciences
Abstract: The ubiquity of cheap sensors and novel measurement techniques have created the ability to observe many processes that evolve over time and/or space. This talk will address a number of signal processing problems, both estimation and identification, motivated by real examples from nonlinear and spatio-temporal processes. The talk begins with an estimation framework applied to a spatio-temporal process. The application is in engineering where estimation of wind flow field is required. The identification framework for data observed as time series is then addressed and for a nonlinear autoregressive and moving average with exogenous (NARMAX) model estimation for characterization in bioparts in life science application. The talk then addresses the joint estimation and identification problem in healthcare with analysis of intracranial EEG signals. The final application considered is the modeling of the dynamics of conflicts, a work that was awarded the PNAS Cozzarelli Prize. It concludes with future directions of work involving control of spatio-temporal processes.
Biography: Visakan Kadirkamanathan obtained his B.A in Electrical and Information Sciences at Cambridge University Engineering Department and went on to complete his PhD in Information Engineering at the same institution. Following brief post-doctoral research positions at the Universities of Surrey and Cambridge, he was appointed Lecturer at the Department of Automatic Control & Systems Engineering at the University of Sheffield. He rose through the ranks there to his current position of Professor in Signal and Information Processing. He was also the Head of Department from 2009-2014.
He is the Director of the Rolls-Royce University Technology Centre for Control and Monitoring Systems Engineering at Sheffield since 2012. His research interests are in the area of modeling and identification of complex dynamic systems and signal processing applications in aerospace and biomedical sciences including fault diagnosis. He has published more than 170 papers in peer reviewed journals and conferences. He was awarded the prestigious PNAS Cozzarelli Prize in 2013 for his pioneering paper on modelling the dynamics of conflicts.
His professional activities include being the Co-Editor-in-Chief of the International Journal of Systems Science. He has delivered a number of invited plenary presentations at international conferences and was Conference Chair of the IAPR International Conference on Pattern Recognition in Bioinformatics.
Title: Freeway Traffic Control
Abstract: Daily traffic congestion on freeway networks around the world continues to increase, with detrimental effects on travel times, traffic safety, fuel consumption and environmental pollution. The annual cost of traffic congestion on European roads is estimated to approach 120 b€ or 1% of the GDP. Traffic congestion is only partly due to high demand, since the appearing congestion degrades the expensive infrastructure capacity essentially at the only times it is actually needed, i.e. during the daily peak periods. Traffic control measures, if properly designed and deployed, may lead to substantial savings of travel time, fuel consumption and environmental impact, along with an improvement of traffic safety. The presentation outlines the related traffic control problems and methods, with a focus on optimal control and feedback approaches. More specifically, the areas of macroscopic traffic flow modelling, local and coordinated ramp metering, variable speed limit control, mainstream traffic flow control, merging traffic control and route information and guidance are addressed, along with the presentation of some selected field results. Emerging developments and needs in relation to VACS (vehicle automation and communication systems) are also briefly addressed.
Biography: Markos Papageorgiou received the Diplom-Ingenieur and Doktor-Ingenieur (honors) degrees in Electrical Engineering from the Technical University of Munich, Germany, in 1976 and 1981, respectively. He was a Free Associate with Dorsch Consult, Munich (1982-1988), and with Institute National de Recherche sur les Transports et leur Sécurité (INRETS), Arcueil, France (1986-1988). From 1988 to 1994 he was a Professor of Automation at the Technical University of Munich. Since 1994 he has been a Professor at the Technical University of Crete, Chania, Greece. He was a Visiting Professor at the Politecnico di Milano, Italy (1982), at the Ecole Nationale des Ponts et Chaussées, Paris (1985-1987), and at MIT, Cambridge (1997, 2000); and a Visiting Scholar at the University of California, Berkeley (1993, 1997, 2001, 2011) and other universities.
Dr. Papageorgiou is author or editor of 5 books and of over 400 technical papers. His research interests include automatic control and optimisation theory and applications to traffic and transportation systems, water systems and further areas. He was the Editor-in-Chief of Transportation Research – Part C (2005-2012). He also served as an Associate Editor of IEEE Control Systems Society – Conference Editorial Board, of IEEE Transactions on Intelligent Transportation Systems and other journals. He is a Fellow of IEEE (1999) and a Fellow of IFAC (2013). He received a DAAD scholarship (1971-1976), the 1983 Eugen-Hartmann award from the Union of German Engineers (VDI), and a Fulbright Lecturing/Research Award (1997). He was a recipient of the IEEE Intelligent Transportation Systems Society Outstanding Research Award (2007) and of the IEEE Control Systems Society Transition to Practice Award (2010). He was presented the title of Visiting Professor by the University of Belgrade, Serbia (2010). The Dynamic Systems and Simulation Laboratory he has been heading since 1994, received the IEEE Intelligent Transportation Systems Society ITS Institutional Lead Award (2011). He was awarded an ERC Advanced Investigator Grant (2013-2017).
Abstract: This talk aims at presenting the interest of Linear Parameter Varying (LPV) methods for vehicle dynamics control. While the use of this approach to deal with non linear systems is now well established, it will be shown, further, to be flexible and robust enough to handle several types of constraints and objectives such as: actuator non linearities, real-time varying performances, control allocation and coordination for MIMO systems, fault tolerant control w.r.t sensor/actuator failures... In the first part, we will consider the semi-active suspension control problem, for which the challenge is the ability of taking into account the dissipativity of the damper (and eventually some loss of efficiency) in the control design step. Different LPV models of semi-active dampers will be presented, allowing to take into account some non linearities (hysteresis, dissipativity, ...) and damper faults. Then LPV control methodologies will be described, where the parameters can take the real abilities of the damper into account. In the second part the synthesis of an LPV /H∞ MIMO vehicle dynamic controller, involving suspension, steering and braking actuators, is proposed to improve the vertical and lateral performances through a gain-scheduling of the 3 control actions according to the driving situation evaluated by a specific monitor. An original LPV method for actuator coordination is proposed, when the actuator limitations and eventually failures, are taken into account. Simulation results using vehicle models validated on a real car, will show the efficiency and robustness of the proposed solutions.
Biography: Olivier Sename was born in Lille (France) in 1969. He received a degree in Mechanical Engineering and Automatic Control from the Ecole Centrale Nantes in 1991, where he also completed his Ph.D. degree in Automatic control in 1994 on the topic of time-delay systems. He did his national service in SITIA Nantes, and has been employed as an Assistant Professor at the Institut National Polytechnique de Grenoble (Laboratoire d'Automatique de Grenoble) since 1995. He is now Professor at the Grenoble Institute of Technology (Grenoble INP), within the GIPSA-lab (department of Control Systems). His main research interests include theoretical studies in the field of time-delay systems, Linear parameter Varying systems and control/real-time scheduling codesign, as well as robust control for various applications such as automotive suspension, vehicle dynamics, engine controls and energy systems. He has been the General Chair of the IFAC Joint conference 2013 "Symposium System Structure and Control", Workshops on "Time-Delay Systems" and on "Fractional Differentiation and Its Applications", 4-6 Feb 2013, (www.gipsa-lab.fr/SSSC2013). He has collaborated with several industrial partners (Renault, SOBEN, Delphi Diesel Systems, Saint-Gobain Vetrotex, PSA, ST Microelectronics). He is responsible of several international bilateral research projects (Mexico, Hungary, Italy). He is the (co-)author of 1 book (Semi-Active Suspension Control Design for Vehicles by S.M. Savaresi, C. Poussot-Vassal, C. Spelta, O. Sename \& L. Dugard, Butterworth-Heinemann 2011), (co)-editor of the Springer LNCIS book "Robust control and Linear Parameter Varying approaches", 14 book chapters, 40 international journal papers, and around 160 international conference papers. He has supervised 20 Ph.D. students.
Abstract: Conventional batch chromatography is relatively inefficient in terms of adsorbent and solvent consumption and significant benefits can be achieved by performing separation of high-added value products with a simulated moving bed (SMB) process. The SMB process allows a “simulated” counter-current movement of the liquid and the solid to be achieved in order to increase the exchange capabilities between both phases. SMB models consist of mass balance partial differential equations of the components to separate in the liquid and in the solid phases. A first-principle SMB model usually includes the isotherm parameters, the column porosity, the diffusion and/or the mass transfer coefficients. Typically, all the parameters have to be determined from experimental data. Void fractions play also a very important role. These models can be the basis of Model Predictive Control, and to alleviate computational requirement a multi-model approach can be used, where the PDE model is reduced using the proper orthogonal decomposition technique, and the basis functions are updated on-line. This reduced-order model is the core of a receding-horizon control strategy in which the design parameters are the tuning parameters of PI controllers assigning the velocity of the concentration fronts at the extract and raffinate drains. Alternatively, a simple discrete-time model of the concentration front movement can be derived from the wave theory, and an adaptive controller acting on the fluid flow rates and commutation period can be designed to regulate the spatial location of the adsorption and desorption waves, and in turn the purity and productivity of the raffinate and extract effluents. A simple parameter adaptation scheme makes this controller robust to parameter uncertainties and drifts, and allows process start-up with minimum a priori knowledge of the separation parameters.
Biography: Alain Vande Wouwer graduated in Electrical Engineering from the Faculté Polytechnique de Mons (Belgium) in 1988, and obtained a PhD in Applied Sciences from the same university (in collaboration with Stuttgart University for a European doctorate degree) in 1994. This latter year, he also achieved a postdoctoral stay in the Mechanical Engineering Department of Université Laval (Quebec). Since then, he has been working at the University of Mons, where he is currently the head of the Control Department. For the last 15 years, he has focused most of his research on bioprocess modeling, estimation and control, developing collaborations with industries and international research groups, and participating in several research projects, including the Belgian Interuniversity Attraction Pole (IAP) DYSCO (DYnamic Systems Control and Optimization). He was (co-)supervisor of 13 PhD theses, and is currently (co-) supervising 10 other theses. He is co-author of 2 books and about 100 journal articles.
Institute of Electrical and Electronics Engineers-Control Systems Society
NAPA: Solutions for Design and Operation of Ships
Faculty of Automatic Control,
Computers, Electrical and Electronics
Engineering, Galati, Romania
Faculty of Automatic Control and
Computer Engineering, Iasi, Romania
Faculty of Automation, Computers and
Electronics, Craiova, Romania
Control Systems, Computers and
Electrical Engineering Society from Galati