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Comparison of baseline estimation algorithms for chromatographic signals

Comparison of baseline estimation algorithms for chromatogra...

引用

international conference on methods and models in automation and robotics (MMAR)

作者： Witold Ilewicz Marcin Kowalczuk Michał Niezabitowski Dariusz Buchczik Adam Gałuszka Silesian University of Technology Gliwice Poland

Baseline in signals is a relatively complicated problem in analysis of signals obtained in various analytical techniques such as chromatography and spectroscopy. In this article there are presented results of tests on four algorithms for a baseline estimation in chromatographic signals. Two of them are based on a polynomial fitting in a region of detected peaks. Another two algorithms, i.e. assymetric least squares method and iterative polynomial fitting with the automatic treshold, estimate the baseline under the whole signal and generally does not require peak detection. the tests of the algorithms are performed on both simulated and experimental signals.

关键词： Approximation methods Polynomials Approximation algorithms Estimation Algorithm design and analysis Accuracy Noise

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Direct model reference adaptive control of nutrient removal at activated sludge wastewater treatment plant

Direct model reference adaptive control of nutrient removal ...

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international conference on methods and models in automation and robotics (MMAR)

作者： Mao Li Mietek Brdys School of Electronic Electrical and System Engineering The University of Birmingham Birmingham UK Department of Control System Engineering University of Technology Gdansk Poland

A direct model reference adaptive controller for dissolved oxygen reference trajectory tracking in an aerobic reactor for nutrient removal at the activated sludge wastewater treatment plant is proposed and investigated. the reference trajectory is prescribed on-line by an upper control layer of the plant overall control system. the controller design utilises a different time scales in the internal dissolved oxygen dynamic and disturbance inputs. the controller is validated by simulation using real data records.

关键词： Adaptation models Mathematical model Biomass Adaptive control Wastewater treatment Trajectory

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Point-parametric modeling for model predictive control in dynamic networks

Point-parametric modeling for model predictive control in dy...

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international conference on methods and models in automation and robotics (MMAR)

作者： Ayodeji Ajibulu Mietek Brdys Electrical and Systems Engineering University of Birmingham Birmingham UK Department of Control Systems Engineering University of Technology Gdansk Poland

this paper illustrates the application of point-parametric modeling for model predictive control applications in dynamic networks. the point-parametric modelling methodology is applicable to a variety of large scale complex systems such as drinking water distribution systems, power networks, transportation networks and telecommunication networks. Robust parameter estimation provided by point-parametric modelling technology is addressed. the models developed are suitable for model predictive controller design. A numerical example based on drinking water distribution system is used to illustrate the point-parametric modeling for water quality prediction.

关键词： Modeling Uncertainty Predictive models Parameter estimation Monitoring Robustness Chlorine

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Neural Networks for a Dynamic Decoupling of a Nonlinear MIMO Dynamic Plant

Neural Networks for a Dynamic Decoupling of a Nonlinear MIMO...

引用

international conference on methods and models in automation and robotics

作者： Pawe? Dworak Krzysztof Jaroszewski Chair of Control Engineering and Robotics West Pomeranian University of Technology in Szczecin Szczecin Poland

ISBN: (纸本)9781479987023

In the paper a method of synthesis of a neural controller which goal is to reduce effects of coupling of the nonlinear multi-input multi-output (MIMO) plant inputs and outputs is presented. the designed neural controller contains a set of neural nets that determine values of parameters of linear decoupling controllers calculated for the adopted nonlinear plant model at its operating points. A known dynamic decoupling technique is used to generate training and evaluation data for the synthetized neural nets. the resulting neural (gain-scheduling) controller varies its parameters depending on the current plant operating point.

关键词： Dynamic Decoupling MIMO paper a method

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CNC feed drive module model simplification and estimation of its parameters

CNC feed drive module model simplification and estimation of...

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international conference on methods and models in automation and robotics

作者： Pawel Waszczuk Faculty of Electrical Engineering Department of Industrial Automation and Robotics West Pomeranian University of Technology Szczecin Poland

ISBN: (纸本)9781479987023

Modelling of physical components such as spring-damper, mass or screw-nut mechanism gives opportunity to simulate actual behavior of a mechatronic system like a CNC feed drive module. Due to its complexity, it is crucial to conduct proper identification and then estimation process regarding only those parameters, which have the largest impact on the developed model. It is important to create functional physical model, because in practical use only those can be exploited. In this paper, a nonlinear model of a feed drive system is presented in details. Author propose a simplification method of differential equations, which were exploited to develop the model to facilitate estimation process. Results of simulations of developed model are included to confirm the correctness of made assumptions.

关键词： feed drive module nonlinear model identification estimation

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Continuous-time input-output linear dynamic system identification using sampled data

Continuous-time input-output linear dynamic system identific...

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international conference on methods and models in automation and robotics (MMAR)

作者： Jarosław Figwer Institute of Automatic Control The Silesian University of Technology Poland

In the paper an approach to parametric continuous-time input-output linear dynamic system identification based on a randomized search method is presented. During identification experiment the excitation signal is generated directly from D/A converter that is equipped only with zero-order or first-order hold filter - the corresponding low-pass analogue reconstruction filter is not used. In this experiment only samples of the system output signal are gathered. In the corresponding data acquisition system there is no analogue antialiasing filter. Samples of the system output signal are acquired with a deterministic constant or random sampling interval. Properties of the presented approach are illustrated by simulation experiments.

关键词： Linear programming Mathematical model Heuristic algorithms Optimization Data acquisition Data models Differential equations

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Generalized Predictive Control of an overhead crane

Generalized Predictive Control of an overhead crane

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international conference on methods and models in automation and robotics (MMAR)

作者： Jaroslaw Smoczek Janusz Szpytko Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Krakow Poland

the adaptive control of an overhead crane is developed based on Generalized Predictive Control (GPC) technique. the one-step ahead predictive control scheme is proposed for reducing the residual and transient oscillations of a payload suspended on a rope and transferred by a crane, with respect to the variation of rope length and mass of a payload. the recursive least square (RLS) algorithm is applied to real-time estimate parameters of discrete-time model of a crane dynamic system. Feasibility and applicability of the proposed control technique were confirmed during experiments carried out on the laboratory stand. the results of experiments are presented and compared with performances of the linear controllers-based scheme designed using pole placement method.

关键词： Cranes Payloads Computational modeling Transient analysis Heuristic algorithms Prediction algorithms Algorithm design and analysis

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Night vision applicability in anti-sway vision-based solutions

Night vision applicability in anti-sway vision-based solutio...

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international conference on methods and models in automation and robotics (MMAR)

作者： Pawel Hyla Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Krakow Poland

this paper describes a common issues in architecture of the variety kind of vision-based sway sensors dedicated for the anti-sway solution as a feedback in close-loop systems. However, in the statement the author's attention was focused on the issue related with vision sensor architecture insensitiveness on actual exposure light conditions. the night vision functionality was obtained through use infrared radiation. Author main attention was focused on possibility of use IR as a solution for insufficient light condition and their usefulness in different non-contact vision-based sensor architecture. All obtained results and considerations were conducted on the base vision sway sensor integrated with infrared illuminator assembled on the physical scaled model of the overhead travelling crane with hosting capability of 150 kg.

关键词： Cameras Machine vision Cranes Sensors Night vision Photonics

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On the practical implementation of non-integer order filters

On the practical implementation of non-integer order filters

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international conference on methods and models in automation and robotics (MMAR)

作者： Tomasz Dziwiński Paweł Piątek Jerzy Baranowski Waldemar Bauer Marta Zagórowska Akademia Gorniczo-Hutnicza imienia Stanislawa Staszica w Krakowie Krakow WojewÃ³dztwo maÅ‚opolskie PL Department of Automatics and Biomedical Engineering AGH University of Science and Technology Kraków

Non-integer order filters allow much greater flexibility in shaping of frequency responses than classical methods. In this paper authors present the methodology of digital filter design using non-integer order filter as a prototype. Implementation on the embedded testbed was performed to validate the presented method. Experiments with measuring of frequency response show consistency of implementation with desired characteristics. the presented approach is promising and can be successfully used in multiple applications.

关键词： Approximation methods Transfer functions Frequency response Prototypes Atmospheric modeling Mathematical model Cutoff frequency

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A simplified parametrization of the criterion for the prediction error dual controller

A simplified parametrization of the criterion for the predic...

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international conference on methods and models in automation and robotics (MMAR)

作者： Miroslav Flídr Miroslav Šimandl NTIS-New Technologies for the Information Society University of West Bohemia Plzeň

this paper deals with analysis of suboptimal dual controller design for linear discrete time stochastic system with uncertain parameters. the design of the dual controller is based on augmentation of the criterion with suitable measure of the parameters uncertainty in order to explicitly ensure the probing property of the control law. As the uncertainty measure the weighted prediction error of the augmented state is chosen. this approach provides very good quality of the resulting control compared to other explicit dual control method. the drawback of the method can be, however, seen in the lack of methodology for selection of the supplemental weighting matrix. the aim of this article is thus to provide insight into a way how to chose this supplemental weighting matrix with minimum necessary optional parameters.

关键词： Approximation methods Cost function Uncertainty Optimal control Probability density function Measurement uncertainty

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