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作者： Deng, Yansha Noel, Adam Elkashlan, Maged Nallanathan, Arumugam Cheung, Karen C. Department of Informatics King's College London LondonWC2R 2LS United Kingdom School of Electrical Engineering and Computer Science University of Ottawa OttawaONK1N 6N5 Canada Queen Mary University of London LondonE1 4NS United Kingdom Department of Electrical and Computer Engineering University of British Columbia VancouverBCV6T 1Z4 Canada

In this paper, we present an analytical model for the diffusive molecular communication (MC) system with a reversible adsorption receiver in a fluid environment. The widely used concentration shift keying is considered for modulation. The time-varying spatial distribution of the information molecules under the reversible adsorption and desorption reaction at the surface of a receiver is analytically characterized. Based on the spatial distribution, we derive the net number of adsorbed information molecules expected in any time duration. We further derive the net number of adsorbed molecules expected at the steady state to demonstrate the equilibrium concentration. Given the net number of adsorbed information molecules, the bit error probability of the proposed MC system is analytically approximated. Importantly, we present a simulation framework for the proposed model that accounts for the diffusion and reversible reaction. Simulation results show the accuracy of our derived expressions, and demonstrate the positive effect of the adsorption rate and the negative effect of the desorption rate on the error probability of reversible adsorption receiver with last transmit bit-1. Moreover, our analytical results simplify to the special cases of a full adsorption receiver and a partial adsorption receiver, both of which do not include desorption. © 2015 IEEE.

关键词： Spatial distribution

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Model predictive control solution for magnetic levitation systems

Model predictive control solution for magnetic levitation sy...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Claudia-Adina Bojan-Dragos Alexandra-Iulia Stinean Radu-Emil Precup Stefan Preitl Emil M. Petriu Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

The paper presents aspects related to the design and implementation of a cascade control solution (CCS), which is tested on laboratory equipment meant for the position control of a ferromagnetic sphere in a Magnetic Levitation System with Two Electromagnets (MLS2EM). The nonlinear mathematical model (MM) of the MLS2EM is derived on the basis of the first principles equations with experimentally identified parameters. This MM is next linearized at two operating points. The CCS includes a state feedback controller in the inner loop and a model predictive controller in the outer loop. Experimental results are given in order to validate the proposed CCS and to illustrate the performance of the position control system expressed as very good dynamics and zero steady-state control error.

关键词： Electromagnets State feedback Mathematical model Magnetic materials Photonic crystals Magnetic levitation

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CCNrel: Leveraging relations among objects to improve the performance of CCN

CCNrel: Leveraging relations among objects to improve the pe...

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IFIP/IEEE International Symposium on Integrated Network Management

作者： Rodolfo S. Antunes Matheus B. Lehmann Rodrigo B. Mansilha Christian Esteve Rothenberg Luciano P. Gaspary Marinho P. Barcellos Institute of Informatics Federal University of Rio Grande do Sul RS Brazil Faculty of Electrical and Computer Engineering University of Campinas SP Brazil

Content-Centric Networking (CCN) is a promising architectural approach that focuses on the efficient distribution of uniquely named data objects. A piece of content is represented by a single object in the network and is divided into multiple chunks which can be uniquely named and cached by network nodes. However, in its current form, the potential of CCN is not fully exploited due to the lack of common means to express and take advantage from possible relations that may exist among different objects. Our work explores the simple yet effective idea of supporting and exploiting such relations in CCN. In this paper, we present CCNrel as a backward-compatible mechanism for CCN that enables publishers to distribute contents as related objects. Differently from existing relation mechanisms, which focus on one type of content and are application-specific, CCNrel is generic and enables the use of relations in both current and novel application domains. First, we discuss CCNrel fundamental concepts and main design aspects. Next, we use CCNrel as foundation for a case study of data redundancy elimination in multimedia content distribution. Through extensive simulation work we evaluate the potential benefits of leveraging relations measured by the clients experience and overall network efficiency. Results of the presented use case show that, on average and when compared to default CCN operations, content download times are improved in 34%, publishers load in 56%, and the network bandwidth usage in 43%.

关键词： Multimedia communication Redundancy Measurement Topology Streaming media Catalogs Network topology

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Data-driven optimal model-free control of twin rotor aerodynamic systems

Data-driven optimal model-free control of twin rotor aerodyn...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Raul-Cristian Roman Mircea-Bogdan Radac Radu-Emil Precup Emil M. Petriu Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

This paper proposes data-driven Model-Free Control (MFC) algorithms for Multi Input-Multi Output (MIMO) twin rotor aerodynamic systems. A discrete-time formulation of the algorithms is given in the framework of a MIMO control system structure with azimuth and pitch position control loops. An optimal design approach of the MIMO MFC algorithms is proposed using a Linear Quadratic Regulator formulation. The sensitivity of the new MFC structure with respect to parametric variations of the aerodynamic system is checked against two additional structures that are also optimally designed. The case study also reveals how the sampling time influences the control system performance.

关键词： MIMO Sensitivity Aerodynamics Process control Optimization Algorithm design and analysis Trajectory

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Optimal motion prediction using a primitive-based model-free iterative control approach for crane systems

Optimal motion prediction using a primitive-based model-free...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Mircea-Bogdan Radac Radu-Emil Precup Emil M. Petriu Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

This paper suggests an optimal behavior prediction mechanism for a control system, using previously learned solutions to simple tasks called primitives. The optimality of the behavior is formulated as a reference trajectory tracking problem. The primitives are stored in a library of pairs of reference input/controlled output signals. The reference input primitives are optimized in a Model-Free Iterative Learning Control framework without using knowledge of the controlled process. The new complex trajectories to be tracked are decomposed into the output primitives regarded as basis functions. The optimal reference input fed to the control system in order to track the desired new trajectory is then recomposed from the reference input primitives. The efficiency of this approach is demonstrated on a case study concerning the position control of a two-axis positioning mechanism in a laboratory crane system application.

关键词： MIMO Trajectory Approximation methods Optimization Process control Cranes

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International Conference on Digital Signal Processing (DSP)

作者： Georgios N. Dimitrakopoulos Aristidis G. Vrahatis Panos Balomenos Kyriakos Sgarbas Anastasios Bezerianos Department of Electrical and Computer Engineering University of Patras Patras Greece Computer Engineering and Informatics Department University of Patras Patras Greece Department of Medical Physics University of Patras Patras Greece SINAPSE National University of Singapore Singapore

A novel perspective of systems biology is the incorporation of pathway structure data along with transcriptomics studies. In parallel, the plethora of high-throughput experimental studies necessitates employment of meta-analysis approaches in order to obtain more biologically consistent results. Towards this orientation we developed a subpathway-based meta-analysis method that integrates human pathway maps along with multiple human mRNA expression experiments. Our method succeeded to identify known age-related subpathways as differentially expressed exploiting several independent muscle-specific aging studies. Finally, our method is applicable in several complex biological problems where massive amount of time series expression data is available.

关键词： Aging Gene expression Linear regression Proteins Muscles Diseases

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Implementation of evolving fuzzy models of a nonlinear process

Implementation of evolving fuzzy models of a nonlinear proce...

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International Conference on informatics in Control, Automation and Robotics (ICINCO)

作者： Radu-Emil Precup Emil-Ioan Voisan Emil M. Petriu Mircea-Bogdan Radac Lucian-Ovidiu Fedorovici Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania School of Electrical Engineering and Computer Science University of Ottawa Ottawa ON Canada

This paper presents details on the implementation of evolving Takagi-Sugeno-Kang (TSK) fuzzy models of a nonlinear process represented by the pendulum dynamics in the framework of the representative pendulum-crane systems. The pendulum angle is the output variable of the TSK fuzzy models that are obtained by online identification. The rule bases and the parameters of the TSK fuzzy models are continuously evolved by an online identification algorithm (OIA) that adds new rules with more summarization power and modifies the existing rules and parameters. The OIA is associated with an input selection algorithm that guides the modelling in terms of ranking the inputs according to their importance factors. Three TSK fuzzy models evolved by the OIA are exemplified. The performance of the new evolving TSK fuzzy models is illustrated by experimental results conducted on pendulum-crane laboratory equipment.

关键词： Input variables Adaptation models Computational modeling Heuristic algorithms Classification algorithms Takagi-Sugeno model Cranes

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Measurement of the Higgs boson mass and width using the four-lepton final state in proton-proton collisions at s=13 TeV

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Physical Review D 2025年第9期111卷 092014-092014页

作者： A. Hayrapetyan A. Tumasyan W. Adam J. W. Andrejkovic T. Bergauer S. Chatterjee K. Damanakis M. Dragicevic P. S. Hussain M. Jeitler N. Krammer A. Li D. Liko I. Mikulec J. Schieck R. Schöfbeck D. Schwarz M. Sonawane S. Templ W. Waltenberger C.-E. Wulz M. R. Darwish T. Janssen T. Van Laer P. Van Mechelen N. Breugelmans J. D’Hondt S. Dansana A. De Moor M. Delcourt F. Heyen S. Lowette I. Makarenko D. Müller S. Tavernier M. Tytgat G. P. Van Onsem S. Van Putte D. Vannerom B. Bilin B. Clerbaux A. K. Das G. De Lentdecker H. Evard L. Favart P. Gianneios J. Jaramillo A. Khalilzadeh F. A. Khan K. Lee M. Mahdavikhorrami A. Malara S. Paredes M. A. Shahzad L. Thomas M. Vanden Bemden C. Vander Velde P. Vanlaer M. De Coen D. Dobur G. Gokbulut Y. Hong J. Knolle L. Lambrecht D. Marckx K. Mota Amarilo A. Samalan K. Skovpen N. Van Den Bossche J. van der Linden L. Wezenbeek A. Benecke A. Bethani G. Bruno C. Caputo J. De Favereau De Jeneret C. Delaere I. S. Donertas A. Giammanco A. O. Guzel Sa. Jain V. Lemaitre J. Lidrych P. Mastrapasqua T. T. Tran S. Wertz G. A. Alves M. Alves Gallo Pereira E. Coelho G. Correia Silva C. Hensel T. Menezes De Oliveira C. Mora Herrera A. Moraes P. Rebello Teles M. Soeiro A. Vilela Pereira W. L. Aldá Júnior M. Barroso Ferreira Filho H. Brandao Malbouisson W. Carvalho J. Chinellato E. M. Da Costa G. G. Da Silveira D. De Jesus Damiao S. Fonseca De Souza R. Gomes De Souza M. Macedo J. Martins L. Mundim H. Nogima J. P. Pinheiro A. Santoro A. Sznajder M. Thiel C. A. Bernardes L. Calligaris T. R. Fernandez Perez Tomei E. M. Gregores B. Lopes Da Costa I. Maietto Silverio P. G. Mercadante S. F. Novaes B. Orzari Sandra S. Padula A. Aleksandrov G. Antchev R. Hadjiiska P. Iaydjiev M. Misheva M. Shopova G. Sultanov A. Dimitrov L. Litov B. Pavlov P. Petkov A. Petrov E. Shumka S. Keshri S. Thakur T. Cheng T. Javaid L. Yuan Z. Hu Z. Liang J. Liu K. Yi G. M. Chen H. S. Chen M. Chen F. Iemmi A. Kapoor H. Liao Z.-A. Liu R. Sharma J. N. Song J. Tao C. Wang J. Wang Z. Wang C. Zhang H. Zhang J. Zhao A. Agapitos Y. Ban S. Deng Yerevan Physics Institute Yerevan Armenia Also at Yerevan State University Yerevan Armenia. Institut für Hochenergiephysik Vienna Austria Indian Institute of Technology Madras Madras India Also at TU Wien Vienna Austria. Universiteit Antwerpen Antwerpen Belgium Also at Institute of Basic and Applied Sciences Faculty of Engineering Arab Academy for Science Technology and Maritime Transport Alexandria Egypt. Vrije Universiteit Brussel Brussel Belgium Also at Ghent University Ghent Belgium. Université Libre de Bruxelles Bruxelles Belgium Korea University Seoul Korea Ghent University Ghent Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Also at Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil. Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Also at Universidade Estadual de Campinas Campinas Brazil. Also at Federal University of Rio Grande do Sul Porto Alegre Brazil. Also at UFMS Nova Andradina Brazil. Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Instituto De Alta Investigación Universidad de Tarapacá Casilla 7 D Arica Chile Beihang University Beijing China Department of Physics Tsinghua University Beijing China Also at Nanjing Normal University Nanjing China. Also at The University of Iowa Iowa City Iowa USA. Institute of High Energy Physics Beijing China Also at University of Chinese Academy of Sciences Beijing China. Also at China Center of Advanced Science and Technology Beijing China. Also at China Spallation Neutron Source Guangdong China. California Institute of Technology Pasadena California USA University of Florida Gainesville Florida USA Massachusetts Institute of Technology Cambridge Massachusetts USA State Key Laboratory of Nuclear Physics and Technology Peking

A measurement of the Higgs boson mass and width via its decay to two Z bosons is presented. Proton-proton collision data collected by the CMS experiment, corresponding to an integrated luminosity of 138 fb−1 at a center-of-mass energy of 13 TeV, is used. The invariant mass distribution of four leptons in the on-shell Higgs boson decay is used to measure its mass and constrain its width. This yields the most precise single measurement of the Higgs boson mass to date, 125.04±0.12 GeV, and an upper limit on the width ΓH<330 MeV at 95% confidence level. A combination of the on- and off-shell Higgs boson production decaying to four leptons is used to determine the Higgs boson width, assuming that no new virtual particles affect the production, a premise that is tested by adding new heavy particles in the gluon fusion loop model. This result is combined with a previous CMS analysis of the off-shell Higgs boson production with decay to two leptons and two neutrinos, giving a measured Higgs boson width of 3.0−1.5+2.0 MeV, in agreement with the standard model prediction of 4.1 MeV. The strength of the off-shell Higgs boson production is also reported. The scenario of no off-shell Higgs boson production is excluded at a confidence level corresponding to 3.8 standard deviations.

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Team-Level Properties for Haptic Human-Swarm Interactions

Team-Level Properties for Haptic Human-Swarm Interactions

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American Control Conference

作者： Tina Setter Hiroaki Kawashima Magnus Egerstedt School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332 USA Graduate School of Informatics Kyoto University Kyoto Japan

ISBN: (纸本)9781479917730

This paper explores how haptic interfaces should be designed to enable effective human-swarm interactions. When a single operator is interacting with a team of mobile robots, there are certain properties of the team that may help the operator complete the task at hand if these properties were fed back via haptics. However, not all team-level properties may be particularly well-suited for haptic feedback. In this paper, characteristics that make a property of a multi-agent system appropriate for haptic feedback are defined. The focus here is on leader-follower networks, in which one robot, the so-called leader, is controlled via an operator with a haptic device, whereas the remaining robots, the so-called followers, are tasked with maintaining distances between one another. Multi-agent manipulability, a property which describes how effective the leader is at controlling the movement of the followers, is proposed as one such appropriate property for haptic feedback in a human-swarm interaction scenario. Manipulability feedback is implemented using a PHANTOM Omni haptic joystick and experiments in which a team of mobile robots is controlled via a human operator with access to this feedback show that this is viable in practice.

关键词： Feedback Mobile robots Haptic interfaces Teams haptic device maneuverability

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Backtracking Search Optimization Algorithm-based approach to PID controller tuning for torque motor systems

Backtracking Search Optimization Algorithm-based approach to...

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Annual IEEE Systems Conference

作者： Radu-Emil Precup Alexandra-Dina Balint Mircea-Bogdan Radac Emil M. Petriu Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

This paper suggests the Backtracking Search Optimization Algorithm (BSOA)-based tuning of the parameters of proportional-integral-derivative (PID) controllers for a pancake direct current (DC) torque motor systems. These motors are important in the framework of Diesel engine exhaust gas recirculation valves in automotive applications. The BSOAs solve optimization problems that minimize objective functions expressed as the weighted sum of overshoot plus the integral of squared control error. The parameters of the PID controllers are the elements of the vector variables of the objective functions. The impact of the parameter that controls the amplitude of the search direction matrix is analyzed in terms of a digitally simulated case study that performs the shaft angle control.

关键词： Tuning Optimization Linear programming Torque Sociology Statistics Control systems

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