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Declarative approach to AGVS modeling and cyclic scheduling

Declarative approach to AGVS modeling and cyclic scheduling

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4th International Conference on Information Technology for Manufacturing Systems, ITMS 2013

作者： Grzegorz, Bocewicz Wojciech, Muszyński Zbigniew, Banaszak Dept. of Electronics and Computer Science Koszalin University of Technology Koszalin Poland Institute of Computer Engineering Control and Robotics Wroclaw University of Technology Wroclaw Poland Dept. of Business informatics Warsaw University of Technology Warsaw Poland

ISBN: (纸本)9783037858783

The paper presents constraint satisfaction problem driven approach to analytical solution of the cyclic scheduling problem in the Flexible Manufacturing System (FMS) producing multi-type parts where for material handling are used the Automated Guide Vehicles Systems (AGVS). Finding the conditions guaranteeing the AGVs deadlock-free and collision-free movement policy is the aim of our researches. The AGVs co-sharing the common parts of the transportation route while executing repetitive processes, i.e. being assigned to AGVs passing along machines in a cyclic way, can be modeled in terms of Cyclic Concurrent Process Systems (CCPS). Schedulability analysis for a given CCPS answers the question whether a cyclic schedule exists or not. The paper suggests approach for schedulability analysis of multimodal processes representing real manufacturing employing the declarative modeling. © (2013) Trans Tech Publications, Switzerland.

关键词： Decision support systems

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Power management solutions for hybrid electric vehicles

Power management solutions for hybrid electric vehicles

引用

International Symposium on Electrical and Electronics engineering (ISEEE)

作者： Alexandru Onea Cezar Babici Dept. of Automatic Control and Industrial Informatics Technical University “Gh. Asachi” of Iasi Iasi Romania

This paper describes three control strategies for a hybrid electric vehicle, in order to reduce the fuel consumption, and to maintain a reasonable state of charge (SOC) of the battery at the end of the drive cycles. The main goal is to split the requested power from the driver between the internal combustion engine (ICE), and the electric motor (EM), such way to decrease the fuel consumption, and to maintain the dynamic performances. The algorithms were tested using Matlab Simulink and ADVISOR interface. All three strategies are applied to a parallel hybrid power train. The first solution is an original rule-based strategy with the electric motor as a primary power source. The second one is a distributed control strategy for a hybrid electric vehicle. The vehicle is built from control nodes, every one of them having the same priority. The control laws are based on the dc-bus signaling. Every source of power (control node) is entering or leaving the network (dc-bus) depending on the voltage thresholds. The last one is a control strategy for hybrid electric vehicles based on the dynamic programming. Using the fuel converter (FC) fuel map, and SOC of the battery pack, it was designed an algorithm that will choose at each moment the required torque and speed from the first and second source of power.

关键词： Torque Batteries Ice Engines Fuels Hybrid electric vehicles

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An algorithm for sizing photovoltaic pumping systems for tomatoes irrigation

An algorithm for sizing photovoltaic pumping systems for tom...

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International Conference on Renewable Energy Research and Applications (ICRERA)

作者： Imene Yahyaoui Maher Chaabene Fernando Tadeo Dept. Electrical Engineering University of Sfax Tunisia Dept. Systems Engineering and Automatic Control University of Valladolid Spain

ISBN: (纸本)9781479914630

This paper presents an algorithm to optimize the size of the components of a photovoltaic pumping installation, composed of photovoltaic panels and a battery bank. The decision is made on the basis of the measured Photovoltaic Panel Generation, the required power for the load, the needed water quantity for the crops and the correct operation of the battery. The algorithm aims to ensure the system autonomy, minimize the unused energy and fulfill the water demand. Some tests of the algorithm are shown in order to demonstrate that the approach fulfills these objectives.

关键词： Batteries Photovoltaic systems Solar radiation Sun Irrigation

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Greedy sparse spectral factorization using reduced-size Gram matrix parameterization

Greedy sparse spectral factorization using reduced-size Gram...

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European Signal Processing Conference (EUSIPCO)

作者： Bogdan C. Şicleru Bogdan Dumitrescu Dept. of Automatic Control and Systems Engineering Politehnica University of Bucharest Bucharest Romania

In this paper we deal with retrieving the spectral factor for an autocorrelation polynomial with only a few nonzero elements. The algorithm is based on the representation of polynomials using sparse bases. We search in a greedy way for a basis by removing elements from the basis of the autocorrelation polynomial and extracting the spectral factor, using a semidefinite program. The algorithm stops when no other solution can be obtained with a smaller basis. Our algorithm appears to be faster and can be more accurate than previous methods.

关键词： Polynomials Correlation Signal processing algorithms Sparse matrices Indexes Algorithm design and analysis Convex functions

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Actual portable devices as base for telemedicine and e-health: Research and case study application

Actual portable devices as base for telemedicine and e-healt...

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E-Health and Bioengineering Conference (EHB)

作者： Ciprian Lupu Mihai Cosmin-Constantin Dept. of Automatic Control and Systems' Engineering University Politehnica of Bucharest Bucharest Romania

Present paper presents an application designed to help paramedics or other intervention personal to diagnose and monitor the state of victims in remote or difficult to access areas using Windows 8 tablet computers. The application is written in Visual C# and uses the latest programming technologies and security features. It will help measure the Glasgow Coma Scale, respiration, pulse, blood pressure of victims and pass on data to a remote centralized management system using wireless signals, such as wireless internet and Bluetooth.

关键词： Hardware Servers Kernel Accuracy

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Design of a 4.5-V, 450-mA Low-Dropout Voltage Linear Regulator Based on a Cascoded OTA

Design of a 4.5-V, 450-mA Low-Dropout Voltage Linear Regulat...

引用

Annual Conference of the IEEE Industrial Electronics Society

作者： Herminio Martinez-Garcia Antoni Grau-Saldes Yolanda Bolea-Monte Department of Electronics Engineering Technical University of Catalonia (UPC) Dept. of Automatic Control and Ind. Informatics (ESAII) Technical University of Catalonia (UPC)

ISBN: (纸本)9781479902255

This article aims to present the design of a 4.5-V, 450-mA low drop-out (LDO) voltage linear regulator based on a two-stage cascoded operational transconductance amplifier (OTA) as error amplifier. The aforementioned two-stage OTA is designed with cascoded current mirroring technique to boost up the output impedance. The proposed OTA has a DC gain of 101 dB under no load condition. The designed reference voltage included in the LDO regulator is provided by a band gap reference with the temperature coefficient (T_γ) of 0.025 mV/℃. The proposed LDO regulator has a maximum drop-out voltage of 0.5 V @ 450 mA of load current, and has the worst case power supply rejection ratio (PSRR) of [54.5 dB, 34.3 dB] @ [100 Hz, 10 kHz] in full load condition. All the proposed circuits are designed using a 0.35 μm CMOS technology. The design is checked in order to corroborate its performance for wide range of input voltage, founding that the circuit design works fine meeting all the initial specification requirements.

关键词： Low drop-out (LDO) voltage linear regulator Operational transconductance amplifier (OTA) Band gap reference Cascoded current mirror Operational amplifiers Input Voltage Power Supply Rejection Ratio linear quadratic regulators CIRCUIT DESIGN load current Output impedance VOLTAGE voltage reference load condition dubnium decibel CMOS technology

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Enhanced visualization of cerebral blood vessels for X-ray angiograms

Enhanced visualization of cerebral blood vessels for X-ray a...

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E-Health and Bioengineering Conference (EHB)

作者： Irina Tache Dan Stefanoiu Andreea Udrea Ciprian Lupu Dept. of Automatic Control and Systems' Engineering University Politehnica of Bucharest Bucharest Romania

Neurologists frequently use X-ray angiographic techniques in order to establish the optimal treatment or intervention procedure. Neurosurgeries performed at blood vessels level are difficult procedures because of the low accessibility in the human brain. Therefore, the establishment of a correct diagnosis based on angiographies is of paramount importance. Enhanced visualization of blood vessels by separating veins and arteries from background can help, in many cases, in giving a more accurate diagnosis. In this article, three methods for arteries and veins classification and enhanced visualization are presented. From our study, it results that, using coefficients of wavelet transform as parameters for the classification, a better visual representation of small vessels is achieved.

关键词： Veins Arteries Wavelet transforms Time series analysis Visualization Angiography

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Teaching robotics and virtual reality in a synergistic approach

Teaching robotics and virtual reality in a synergistic appro...

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IEEE International Conference on E-Learning in Industrial Electronics, ICELIE

作者： Catalin Buiu Andreea Buga Andreea Monica Coman Dept. of Automatic Control and Systems Engineering Politehnica University of Bucharest Bucharest Romania

This paper presents a successful implementation of an undergraduate robotics and virtual reality course that builds upon the synergies existing between these two areas in order to introduce computers and information technology students to some fundamental concepts, through the use of simulation, experiments on real robots and design of robotic creatures in virtual environments. Course objectives, methodological aspects and the main technical solutions are presented in detail. A survey has been proposed in order to evaluate the impact of this course, and parts of it are presented and commented.

关键词： Solid modeling Education Laboratories Augmented reality Educational robots

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Regularization strategies for nonparametric system identification

Regularization strategies for nonparametric system identific...

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IEEE Annual Conference on Decision and control

作者： A. Chiuso T. Chen L. Ljung G. Pillonetto Dept. of Information Engineering Universty of Padova Division of Automatic Control Linkoping University

ISBN: (纸本)9781467357159

In the recent years several regularization strategies have been proposed to tackle linear system identification problems. One line of work has concentrated on designing and studying the properties of several Kernels for l_2-type regularization in impulse response estimation;a second stream of work has proposed using Nuclear Norm type of penalties on certain Hankel data matrices, aiming at favoring (almost) low rank solutions in subspace type procedures. The goal of this paper is twofold: (i) bring all these ideas under a common umbrella also proposing an algorithm which combines different penalties and (ii) provide a first comparison between different approaches.

关键词： System identification penalty Hankel IMPULSE RESPONSE UMBRELLA Linear system

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Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC 13

Bayesian Inference and Learning in Gaussian Process State-Sp...

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Annual Conference on Neural Information Processing Systems

作者： Roger Frigola Fredrik Lindsten Thomas B. Schoen Carl E. Rasmussen Dept. of Engineering University of Cambridge UK Div. of Automatic Control Linkoeping University Sweden Div. of Automatic Control Linkoeping University SwedenDept. of Information Technology Uppsala University Sweden

ISBN: (纸本)9781632660244

State-space models are successfully used in many areas of science, engineering and economics to model time series and dynamical systems. We present a fully Bayesian approach to inference and learning (i.e. state estimation and system identification) in nonlinear nonparametric state-space models. We place a Gaussian process prior over the state transition dynamics, resulting in a flexible model able to capture complex dynamical phenomena. To enable efficient inference, we marginalize over the transition dynamics function and, instead, infer directly the joint smoothing distribution using specially tailored Particle Markov Chain Monte Carlo samplers. Once a sample from the smoothing distribution is computed, the state transition predictive distribution can be formulated analytically. Our approach preserves the full nonparametric expressivity of the model and can make use of sparse Gaussian processes to greatly reduce computational complexity.

关键词： Bayes methods Bayesian inference Learning Gaussian processes State Change Gauss State estimation System identification DYNAMICAL SYSTEMS Markov chain monte carlo methods complexity classes smoothing economics State space models

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