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Výzkum, vývoj a výuka v oblasti automatických řídicích systémů
Výzkum, vývoj a výuka v oblasti automatických řídicích systémů

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Slavnostní přednáška se koná při příležitosti 50 let nepřetržitého pracovního poměru Prof. Kučery v ÚTIA. Více na

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The history and evolution of sliding control will be discussed. The main problems arising in the usage of the first order sliding modes will be explained. The second order sliding mode control algorithms and their specific features will be presented. The chattering reduction in the continuous second order super-twisting controllers will be illustrated. The precision of the arbitrary order sliding mode controllers will be shown. The continuous arbitrary order sliding mode controllers will be presented and discussed. Videos with the experimental illustration of the properties of the main sliding mode algorithms will be presented.

Short bio:
Leonid M. Fridman received an M.S. degree in mathematics from Kuibyshev (Samara) State University, Samara, Russia, in 1976, a Ph.D. degree in applied mathematics from the Institute of Control Science, Moscow, Russia, in 1988, and a Dr. Sc. degree in control science from Moscow State University of Mathematics and Electronics, Moscow, Russia, in 1998. From 1976 to 1999, he was with the Department of Mathematics, Samara State Architecture and Civil Engineering University. From 2000 to 2002, he was with the Department of Postgraduate Study and Investigations at the Chihuahua Institute of Technology, Chihuahua, Mexico. In 2002, he joined the Department of Control Engineering and Robotics, Division of Electrical Engineering of Engineering Faculty at National Autonomous University of Mexico (UNAM), Mexico. His research interests are Variable Structure Systems. He is currently a Chair of TC on Variable Structure Systems and Sliding mode control of IEEE Control Systems Society, Associated Editor of the Journal of Franklin Institute, and Nonlinear Analysis: Hybrid Systems. He is an author and editor of eight books and fifteen special issues devoted to the sliding mode control. He is a winner of Scopus prize for the best cited Mexican Scientists in Mathematics and Engineering 2010. He was working as an invited professor in 20 universities and research laboratories of Argentina, Australia, Austria, France, China, Germany, Italy, Israel, and Spain.

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Everyone (even from outside the department, faculty, university) is warmly welcome at the talk given by our guest speaker Ginger Holt. Her talk will start at 11am at K14 seminar room, ground floor of Building E, CVUT campus at Karlovo namesti 13, Praha. The seminar will take 60 minutes including discussion. Note that this talk will be immediately preceded by another talk given by another speaker at 10am, see the separate announcement.

Abstract: A tour of basic time series models is given alongside common applications. This talk enumerates, compares, and contrasts the common variants of ARMA (AutoRegressive Moving Average) models in today’s literature. After the basic properties of ARMA models are reviewed, we tour ARMA variants that describe seasonal features, long memory behavior, multivariate series, and changing variances (stochastic volatility). Common tools, modeling steps, and diagnostics used in time series analysis will be introduced. Applications and examples are given in areas of demand forecasting, economics, finance, and ecology.

Bio: Ginger Holt is a Manager in Market Analysis and Planning, Corporate Strategy for the Hewlett-Packard company. She develops predictive models and performs advanced analytics regarding market sizing for their Enterprise business. She is also an adjunct professor in Predictive Analytics at Northwestern University and in Statistics at San Jose State University. She obtained her Ph.D. in Statistics from Rice University where her research was in multivariate time series analysis. She was an Assistant Professor of Systems and Information Engineering at the University of Virginia from 2005-2009 where she conducted research on multivariate time series methodology development. She has researched prediction methodologies in many different applications including computational finance, environmental networks, cyber security, ecology, marketing, and econometrics.

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Everyone (even from outside the department, faculty, university) is warmly welcome at the talk given by a guest speaker Haitham Hindi on one application of advanced optimization in industry. His talk will start at 10am at K14 seminar room, ground floor of Building E, CVUT campus at Karlovo namesti 13, Praha. The seminar will take 60 minutes including discussion. This seminar will be immediately followed (at 11am) by another talk given by another speaker, see the separate announcement.

Please, let us know if you consider coming so that we can reserve a larger room.

Abstract: The problem of pricing products in a large on-line retailer is characterized by three distinctive features: (i) The number of decision variables is very large, (ii) pricing decisions can be taken frequently to react to market changes and (iii) the majority of items in the catalog need not sell regularly. In this talk we will give an introduction to convex optimization models for e-commerce pricing that can lead to scalable pricing algorithms and we will introduce some recent work to robustify our models against the uncertainty associated with slow-moving items.

Bio: Haitham Hindi received his MS and PhD from Stanford University in Electrical Engineering. His interests are in optimization and control, and their application to real-world problems. He is currently a principal engineer at Walmart Labs, working on optimization algorithms for online pricing, advertising, and revenue management. His prior work was in: robotic radiation treatment devices; energy management systems; networked and hybrid control; manufacturing and transportation networks; matrix rank reduction; nonlinear control systems; particle accelerators; and disk drives.

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Dr. Petr Horáček from Rockwell Automation will have a talk on "Modeling and simulation of dynamical systems in industry". It has become sort of a tradition over the last few years to have his talk included among the lectures of our undergraduate course on modeling and simulation of dynamical systems at Cybernetics and Robotics undergraduate program. Due to the popularity of this talk among students we decided to organize this as regular seminar so that not only the undergrads but also grad students, postdocs and faculty members can attend it.

Petr Horacek is one of leading experts in Czech republic on modeling, simulation and advanced control of industrial processes and systems (and a former faculty member of department of control engineering at CTU in Prague). His portfolio includes projects from various applications domains such as  food processing industry (fiber glass production, cheese cooker, tunnel pasteurizer of beer, wet blender, chocolate tempering machine, tower dryer), waterworks industry (water distribution system for a big city agglomeration, complex pumping station, sewage system, desert irrigation system) and production processes (curing machine). Petr plans to give an overview of his industrial projects and is willing to discuss the details of any project that the audience find attractive. The key flavour of his modeling projects is that he insists on building the models from the first principles. The actual physical parameters might be determined from the measured data but the key structure of the model is assembled using the knowledge of the physics of the problem. Being one of the first promoters of power bond graphs in the Czech and Slovak engineering communities, his talk might be a confirmation that this methodology is perfectly practical and useful. After all, that is why we decided to base our own undergrad course on bond graphs...

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Na adrese najdete nový web Českého komitétu pro automatizaci (ČSKA), který prezentuje členství České republiky v Mezinárodní federaci pro automatické řízení (International Federation of Automatic Control - IFAC).

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Added photos to Prof. Frank Lewis (University of Texas in Arlington, USA): Stability vs. Optimality of Cooperative Multiagent Control.

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Everyone is welcome to a public lecture given by the world-renowned expert on methods for optimal control of cooperative multiagent systems - professor Frank Lewis. The talk will be given at K14 seminar room at Karlovo namesti 13/E (see for the instructions on how to get there) and will start at 10am. It will take about one hour. After the talk there will be an opportunity to discuss scientific issues with the lecturer. The talk is given within the IEEE Control Systems Society Distinguished Lecturer Program (

Abstract: Distributed systems of agents linked by communication networks only have access to information from their neighboring agents, yet must achieve global agreement on team activities to be performed cooperatively.  Examples include networked manufacturing systems, wireless sensor networks, networked feedback control systems, and the internet.  Sociobiological groups such as flocks, swarms, and herds have built-in mechanisms for cooperative control wherein each individual is influenced only by its nearest neighbors, yet the group achieves consensus behaviors such as heading alignment, leader following, exploration of the environment, and evasion of predators.  It was shown by Charles Darwin that local interactions between population groups over long time scales lead to global results such as the evolution of species.
Natural decision systems incorporate notions of optimality, since the resources available to organisms and species are limited. This talk investigates relations between the stability of cooperative control and optimality of cooperative control. 

Stability: A method is given for the design of cooperative feedbacks for the continuous-time multi-agent tracker problem (also called pinning control or leader-following) that guarantees stable synchronization on arbitrary graphs with spanning trees.  It is seen that this design is a locally optimal control with infinite gain margin.  In the case of the discrete-time cooperative tracker, local optimal design yields stability on graphs that satisfy an additional restriction based on the Mahler instability measure of the local agent dynamics.

Optimality: Global optimal control of distributed systems is complicated by the fact that, for general LQR performance indices, the resulting optimal control is not distributed in form. Therefore, it cannot be implemented on a prescribed communication graph topology.  A condition is given for the existence of any optimal controllers that be implemented in distributed fashion.  This condition shows that for the existence of global  optimal controllers of distributed form, the performance index weighting matrices must be selected to depend on the graph structure.

Short bio: F.L. Lewis, Member, National Academy of Inventors.  Fellow IEEE, Fellow IFAC, Fellow U.K. Institute of Measurement & Control, PE Texas, U.K. Chartered Engineer. UTA Distinguished Scholar Professor, UTA Distinguished Teaching Professor, and Moncrief-O’Donnell Chair at The University of Texas at Arlington Research Institute.  IEEE Control Systems Society Distinguished Lecturer.  He obtained the Bachelor's Degree in Physics/EE and the MSEE at Rice University, the MS in Aeronautical Engineering from Univ. W. Florida, and the Ph.D. at Ga. Tech.  He works in feedback control, reinforcement learning, intelligent systems, and distributed control systems.  He is author of 6 U.S. patents, 273 journal papers, 375 conference papers, 15 books, 44 chapters, and 11 journal special issues.  He received the Fulbright Research Award, NSF Research Initiation Grant, ASEE Terman Award, Int. Neural Network Soc. Gabor Award 2009, U.K. Inst Measurement & Control Honeywell Field Engineering Medal 2009.  Received IEEE Computational Intelligence Society Neural Networks Pioneer Award 2012.  Distinguished Foreign Scholar, Nanjing Univ. Science & Technology. Project 111 Professor at Northeastern University, China. Received Outstanding Service Award from Dallas IEEE Section, selected as Engineer of the Year by Ft. Worth IEEE Section.  Listed in Ft. Worth Business Press Top 200 Leaders in Manufacturing. Received the 2010 IEEE Region 5 Outstanding Engineering Educator Award and the 2010 UTA Graduate Dean’s Excellence in Doctoral Mentoring Award. Elected to UTA Academy of Distinguished Teachers 2012.  He served on the NAE Committee on Space Station in 1995.  Founding Member of the Board of Governors of the Mediterranean Control Association.  Helped win the IEEE Control Systems Society Best Chapter Award (as Founding Chairman of DFW Chapter), the National Sigma Xi Award for Outstanding Chapter (as President of UTA Chapter), and the US SBA Tibbets Award in 1996 (as Director of ARRI’s SBIR Program). 

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Everyone is welcome to the lecture by Dr. Vishwesh V. Kulkarni. The talk will start at 2pm in the K14 seminar room of Department of Control Engineering FEL CVUT, Karlovo namesti 13/E in Prague. It will take one hour.

Abstract: Biology is the science of the century.  Life is an information-driven chemical process in which DNA encodes basic programs and creates systems to execute those. Here, the resulting molecular systems and actuators make decisions using molecular sensors. The problem of controlling such complex dynamical systems using limited amount of information has emerged as one of the most important challenges for science and technology. A control theoretic approach is useful in approaching a good enough solution to this problem. Indeed, as George Zames pointed out in 1966, the input-output stability theory aims and works towards facilitating qualitative assessments using only a coarse level system information that may be entirely devoid of any details on the internal structure of the given system. Here, the art is in extracting as much information as possible from the available data so that the conservatism in the characterization and control is minimized. This talk is broadly divided into two parts: (1) modeling of nonlinear systems using sparse datasets, and (2) a synthesis of nonlinear dynamical systems using biomolecular components. The first presents results on how compressive sensing ideas can be used to obtain nonlinear dynamical models using sparse omics datasets and highlights the efficiency of this approach using the benchmark synthetic data of Cantone et. al. (Cell 2009). The second part presents techniques and a software to synthesize nonlinear dynamical systems using chemical reactions and, in particular, using DNA and enzymes.

Bio: Dr. Vishwesh Kulkarni is a Visiting Assistant Professor at the Department of Electrical Engineering, University of Minnesota, Minneapolis. He received Ph.D. in Electrical Engineering from the University of Southern California in 2001 and was a postdoctoral researcher at the Massachusetts Institute of Technology, 2001-2003, and at the University of Colorado, Boulder, 2004-2005. He was a faculty at the Department of Electrical Engineering, Indian Institute of Technology Bombay, 2006-2010, and also served as a co-founder and the president of Sentina Systems, Boston, MA, 2005-2010. Along with Prof. Guy-Bart Stan (Imperial College) and Prof. Karthik Raman (IIT Madras), he is a co-editor of the book System Theoretic Approaches to Systems and Synthetic Biology which will be published by Springer Verlag in May 2014.
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