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

作者： Mateusz Krzysztoń Ewa Niewiadomska-Szynkiewicz Institute of Control and Computation Engineering Warsaw University of Technology Warsaw Poland Research and Academic Computer Network (NASK) Warsaw Poland

Mobile wireless ad hoc network (MANET) can significantly enhance the capability to monitor contaminated areas, detect pollution and gas clouds, tackle emergency incidents and support rescue teams that are working in the emergency areas. In this paper, we investigate the problem of estimation of boundary of discovered heavy gas cloud and tracking this clouds. The MANET comprised of mobile sensing devices is used to solve this task. We describe a three-phase strategy for construction a sensing system, in which mobile sensors explore the region of interest to detect the gas cloud, create preliminarily network topology and finally, adapt this topology to detect the cloud boundary and track the moving cloud maintaining the permanent communication with the central operator of the system. We evaluate the performance of the proposed strategy based on the results of simulations.

关键词： Sensors Mobile ad hoc networks Mobile communication Base stations Trajectory Estimation Monitoring

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LPV system modeling with SSNN toolbox

LPV system modeling with SSNN toolbox

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American control Conference

作者： Marcel Luzar Andrzej Czajkowski Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 65-246 Poland

ISBN: (纸本)9781467386838

The main objective of this paper is to develop and design a State Space Neural Network toolbox for a non-linear system modeling with an artificial state-space neural networks, which can be used in a model-based robust fault diagnosis and control. Such a toolbox is implemented in the MATLAB environment and it uses some of its predefined functions. It is designed in the way that any non-linear multi-input multi-output system is modeled and represented in a classical state-space form. The novelty of the proposed approach is that the final result of the identification process is the state, input and output matrices, not only the neural network parameters. The toolbox is equipped with the graphical user interface, which makes it useful for the users not familiar with a neural networks theory. This paper can be perceived as an extention of [1] on LPV systems.

关键词： Mathematical model Neurons Data models Biological neural networks control design Transforms Biological neural networks data models design control Transform tool cases Mathematical Model Neurons Systems modelling Neural network state space graphical user interfaces

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Simulation-Based Optimization Methods Applied to Large Scale Water Systems control

Simulation-Based Optimization Methods Applied to Large Scale...

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Ewa Niewiadomska-Szynkiewicz Jacek Blaszczyk Institute of Control and Computation Engineering Warsaw University of Technology Warsaw Poland Research and Academic Computer Network (NASK) Warsaw Poland

ISBN: (纸本)9781509027729

Recent progress in computer science put forwards the research, applications of simulation-based optimization methods in applied science and engineering. This paper is concerned with computational research for complex environmental systems. The simulation-based optimization approach, numerical techniques that optimize performance of system by using simulation to evaluate the objective value are reviewed, discussed. The attention is focused on the application of this approach to operational management of large scale water systems. The results of two case studies are presented, discussed - flood control in the multireservoir water system in Poland, optimal control of the water distribution system in Canada.

关键词： Reservoirs computational modeling Numerical models Rivers Mathematical model Optimization methods

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Robustness of uncertain discrete linear repetitive processes with disturbance attenuation

Robustness of uncertain discrete linear repetitive processes...

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2016 European control Conference, ECC 2016

作者： Dabkowski, Pawel Galkowski, Krzysztof Rogers, Eric Sebek, Michael Institute of Physiscs Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University ul. Grudziadzka 5 Torun87-100 Poland Institute of Control and Computation Engineering University of Zielona Gora Podgorna 50 Zielona Gora65-246 Poland Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Department of Control Engineering Faculty of Electrical Engineering Czech Technical University in Prague Technicka 2 Praha 616627 Czech Republic

ISBN: (纸本)9781509025916

Repetitive processes are a class of 2D systems that can be used to model physical systems and also there are applications, such as iterative learning control, where using a repetitive processes setting for design has advantages over alternatives. In most cases, it is discrete dynamics that are basis for design and often there will be a need to deal with uncertainty in the process model and the effects of disturbances. This paper develops new algorithms for these tasks that are computed using linear matrix inequalities when the uncertainty is modeled using two standard representations and disturbance attenuation is measured by an norm. The extension of these algorithms to control law design is also developed. © 2016 EUCA.

关键词： Linear matrix inequalities

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Distributed Configuration of Sensor Network for Fault Detection in Spatio-Temporal Systems

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Journal of Physics: Conference Series 2017年第1期783卷

作者： Maciej Patan Damian Kowalów Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 65–246 Zielona Góra Poland

The problem of fault detection in spatio-temporal systems is formulated as that of maximizing the power of a parametric hypothesis test verifying the nominal state of the process under consideration. Then, adopting a pairwise communication schemes, a computational procedure is developed for the spatial configuration of the observation locations for sensor network which monitor changes in the underlying parameters of a distributed parameter system. As a result, the problem of planning the percentage of experimental effort spent at given sensor locations can be solved in a fully decentralized fashion. The approach is verified on a numerical example involving sensor selection for a convective diffusion process.

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Iris recognition with a database of iris images obtained in visible light using smartphone camera

Iris recognition with a database of iris images obtained in ...

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IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)

作者： Mateusz Trokielewicz Institute of Control and Computation Engineering Warsaw University of Technology Warsaw Poland Biometrics Laboratory Research and Academic Computer Network Warsaw Poland

This paper delivers a new database of iris images collected in visible light using a mobile phone's camera and presents results of experiments involving existing commercial and open-source iris recognition methods, namely: Iri-Core, VeriEye, MIRLIN and OSIRIS. Several important observations are made. First, we manage to show that after simple preprocessing, such images offer good visibility of iris texture even in heavily-pigmented irides. Second, for all four methods, the enrollment stage is not much affected by the fact that different type of data is used as input. This translates to zero or close-to-zero Failure To Enroll, i.e., cases when templates could not be extracted from the samples. Third, we achieved good matching accuracy, with correct genuine match rate exceeding 94.5% for all four methods, while simultaneously being able to maintain zero false match rate in every case. Correct genuine match rate of over 99.5% was achieved using one of the commercial methods, showing that such images can be used with the existing biometric solutions with minimum additional effort required. Finally, the experiments revealed that incorrect image segmentation is the most prevalent cause of recognition accuracy decrease. To our best knowledge, this is the first database of iris images captured using a mobile device, in which image quality exceeds this of a near-infrared illuminated iris images, as defined in ISO/IEC 19794-6 and 29794-6 documents. This database will be publicly available to all researchers.

关键词： Iris recognition Databases Cameras Image segmentation Mobile handsets Image recognition Lighting

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Design of robust iterative learning control schemes for systems with polytopic uncertainties and sector-bounded nonlinearities

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Journal of Physics: Conference Series 2017年第1期783卷

作者： Marcin Boski Wojciech Paszke Institute of Control and Computation Engineering University of Zielona Góra ul. Szafrana 2 65-516 Zielona Góra Poland.

This paper deals with designing of iterative learning control schemes for uncertain systems with static nonlinearities. More specifically, the nonlinear part is supposed to be sector bounded and system matrices are assumed to range in the polytope of matrices. For systems with such nonlinearities and uncertainties the repetitive process setting is exploited to develop a linear matrix inequality based conditions for computing the feedback and feedforward (learning) controllers. These controllers guarantee acceptable dynamics along the trials and ensure convergence of the trial-to-trial error dynamics, respectively. Numerical examples illustrate the theoretical results and confirm effectiveness of the designed control scheme.

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Portfolio optimization with reward-risk ratio measure based on the conditional value-At-risk

Portfolio optimization with reward-risk ratio measure based ...

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2015 World Congress on engineering and Computer Science, WCECS 2015

作者： Ogryczak, Wlodzimierz Przyluski, Michal Śliwiński, Tomasz Institute of Control and Computation Engineering Warsaw University of Technology Poland

ISBN: (纸本)9789881404725

In several problems of portfolio selection the reward-risk ratio criterion is optimized to search for a risky portfolio offering the maximum increase of the mean return, compared to the risk-free investment opportunities. We analyze such a model with the CVaR type risk measure. Exactly the deviation type of risk measure must be used, i.e. The so-called conditional drawdown measure. We analyze both the theoretical properties (SSD consistency) and the computational complexity (LP models).

关键词： Linear programming

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Guaranteed cost estimation and control for nonlinear system using LMI optimization

Guaranteed cost estimation and control for nonlinear system ...

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

作者： Mariusz Buciakowski Vicenç Puig Institute of Control and Computation Engineering University of Zielona Góra Zielona Góra Poland Automatic Control Department Universidad Politécnica de Cataluña Terrassa Spain

In the paper, a methodology for the guaranteed cost estimation and control for nonlinear system discrete-time systems is proposed. To solve such a challenging problem, the article starts with a general description of the system and assumptions regarding its nonlinearities. The subsequent part of the paper describes the design methodology of the robust observer and controller for the predefined cost function using linear matrix inequalities. The final part of the paper presents an illustrative example oriented towards a practical application to the multiple tank system, which illustrates the performance of the proposed approach.

关键词： Observers Robustness Nonlinear systems Cost function control systems

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Towards robust process fault estimation for uncertain dynamic systems

Towards robust process fault estimation for uncertain dynami...

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

作者： Marcin Pazera Marcin Witczak Uniwersytet Zielonogorski Zielona Gora Lubuskie PL Institute of Control and Computation Engineering University of Zielona Góra Zielona Góra Poland

The paper deals with the problem of simultaneous state and process fault estimation for uncertain dynamic systems. Contrarily to the approaches presented in the literature, the nonlinear estimation problem is reduced to the linear one by introducing a suitable system reparameterization and new estimator structure. Instead of estimating the fault directly, its product with state and the state itself are estimated. To tackle this problem, a robust design procedure is proposed that takes into account uncertainties acting onto the system being diagnosed. The approach is based on the quadratic boundedness approach allowing convergence analysis of uncertain systems with bounded uncertainties. Subsequently, a simple algebraic approach is proposed to derive the fault estimate. The final part of the paper shows a numerical example concerning state and pitch actuator component fault estimation of a wind turbine.

关键词： Estimation Wind turbines Actuators Uncertainty Mathematical model Robustness Convergence

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