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LPV Model Identification using Blended Linear Models with given Weightings

IFAC Proceedings Volumes 2009年第10期42卷 1674-1679页

作者： Yucai Zhu Guoli Ji Control Systems Faculty of Electrical Engineering Eindhoven University of Technology PO BOX513 5600MB Eindhoven the Netherlands Department of Automation Xiamen University Xiamen 361005 China Also at: Tai-Ji Control Grensheuvel 10 5685 AG Best Netherlands

Nonlinear process identification is studied. In model identification, a linear parameter varying (LPV) model is used and it consists of weighted local linear models. In this work, predetermined weighting functions are used and the LPV model identification becomes a linear identification problem with multiple weighted input data sets. So simplicity is its strength. The developed method is especially suitable for batch processes for which only transition tests are feasible and no working point tests are permitted. It is also suitable for continuous nonlinear process identification. Identifiability and stability of the LPV model are discussed. Simulation studies will be used to verify the effectiveness of the method.

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Estimating the State of Distributed Dynamical Systems Based on Limited Measurements by means of Cooperative Filtering with Application to ad-hoc Vehicle Network

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IFAC Proceedings Volumes 2009年第8期42卷 929-934页

作者： A. Edelmayer M. Miranda Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary Faculty of Engineering University of Los Andes Mérida Venezuela

In this paper a decentralized approach to state estimation of distributed dynamical systems over unreliable communication network subject to uncertain and limited measurements is addressed. Specifically, a distributed filtering concept for enhancing the estimation accuracy of vehicles state from uncertain position data in ad-hoc vehicle networks is presented. The filter relies on a variety of position measurements obtained from the on-board vehicle positioning system, from other nearby cooperating vehicles, as well as from the immediate roadside environment via communication. Direct distance measurements between vehicles as well as between vehicles and the static elements of the roadside infrastructure can be used, if available, as highly accurate reference measurements. The paper demonstrates how successfully the idea of cooperative filtering in addressing the demands of both sensor fault tolerance and enhanced estimation accuracy in distributed systems over ad-hoc communication networks can be used.

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On the complexity of explicit MPC laws

On the complexity of explicit MPC laws

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European control Conference (ECC)

作者： Francesco Borrelli Mato Baotić Jaroslav Pekar Greg Stewart Department of Mechanical Engineering University of California Berkeley USA Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Honeywell Prague Laboratory Prague Czech Republic Honeywell Automation and Control Solutions North Vancouver Canada

Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive control requires the online solution of such QPs. This can be obtained by using a QP solver or evaluating the associated explicit solution. Objective of this note is to shed some light on the complexity of the two approaches.

关键词： Vectors Equations Indexes Optimal control Complexity theory Europe Predictive control

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Identification, Prediction and Detection of the Process Fault in a Cement Rotary Kiln by Locally Linear Neuro-Fuzzy Technique

Identification, Prediction and Detection of the Process Faul...

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International Conference on Computer and Electrical engineering, ICCEE

作者： Masoud Sadeghian Alireza Fatehi Department of Mechatronics Engineering Sharif University of Technology International Campus Kish Island Iran Advanced Process Automation and Control (APAC) Research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

In this paper, we use nonlinear system identification method to predict and detect process fault of a cement rotary kiln. After selecting proper inputs and output, an input-output model is identified for the plant. To identify the various operation points in the kiln, Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. Then, by using this method, we obtained 3 distinct models for the normal and faulty situations in the kiln. One of the models is for normal condition of the kiln with 15 minutes prediction horizon. The other two models are for the two faulty situations in the kiln with 7 minutes prediction horizon are presented. At the end, we detect these faults in validation data. The data collected from White Saveh Cement Company is used for in this study.

关键词： Fault diagnosis Fault detection Kilns Production facilities Electrical fault detection Fuzzy systems Delay estimation Nonlinear systems Predictive models automation

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Identification of Nonlinear Predictor and Simulator Models of a Cement Rotary Kiln by Locally Linear Neuro-Fuzzy Technique

Identification of Nonlinear Predictor and Simulator Models o...

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International Conference on Computer and Electrical engineering, ICCEE

作者： Masoud Sadeghian Alireza Fatehi Department of Mechatronics Engineering International Campus Sharif University of Technology Kish Island Iran Advanced Process Automation and Control (APAC) Research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

One of the most important parts of a cement factory is the cement rotary kiln which plays a key role in quality and quantity of produced cement. In this part, the physical exertion and bilateral movement of air and materials, together with chemical reactions take place. Thus, this system has immensely complex and nonlinear dynamic equations. These equations have not worked out yet. Only in exceptional case; however, a large number of the involved parameters were crossed out and an approximation model was presented instead. This issue caused many problems for designing a cement rotary kiln controller. In this paper, we presented nonlinear predictor and simulator models for a real cement rotary kiln by using nonlinear identification technique on the Locally Linear Neuro-Fuzzy (LLNF) model. For the first time, a simulator model as well as a predictor one with a precise fifteen minute prediction horizon for a cement rotary kiln is presented. These models are trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. At the end, the characteristics of these models are expressed. Furthermore, we presented the pros and cons of these models. The data collected from White Saveh Cement Company is used for modeling.

关键词： Predictive models Kilns Computational modeling Power system modeling Production facilities Nonlinear control systems Chemical technology Nonlinear equations Automatic control Process control

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Robust Proportional-Integral control of a Laboratory Model Using Programmable Logic controller SIMATIC S7-300

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IFAC Proceedings Volumes 2009年第6期42卷 36-41页

作者： Radek MatuŜu Katarína Vaneková Roman Prokop Monika BakoŜová Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlín Nad Stránemi 4511 76005 Zlín Czech Republic Tel: +420 576 033 015 fax: +420 576 035 279 Department of Information Engineering and Process Control Faculty of Chemical and Food Technology Slovak University of Technology in Bratislava Radlinského 9 81237 Bratislava Slovakia Tel: +421 259 325 364 fax: +421 252 496 469

The main aim of the contribution is to present a possible approach to design of simple Proportional-Integral (PI) robust controllers and subsequently to demonstrate their applicability during control of a laboratory model with uncertain parameters through the Programmable Logic controller (PLC) SIMATIC S7–300 by Siemens Company. The proposed and utilized synthesis consists of two steps – the former one is a determination of controller parameters area, which ensures the robustly stable control loop and which is based on the computing/plotting the stability boundary locus while the latter one lies in the final choice of the controller itself relying on algebraic techniques. The basic theoretical parts are followed by laboratory experiments in which the 3rd order nonlinear electronic model has been successfully controlled in various working points.

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Signal and system representations on hyperbolic groups: Beyond rational orthogonal bases

Signal and system representations on hyperbolic groups: Beyo...

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International Conference on Computational Cybernetics (ICCC)

作者： Alexandros Soumelidis József Bokor Ferenc Schipp Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Computer and Automation Research Institute and Control Engineering Research Group Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department of Numerical Analysis Faculty of Informatics Eötvös Lonránd University Budapest Hungary

This paper investigates signal and system representations in special rational orthogonal bases of the Hardy space H 2 . These bases are derived from the Blaschke-group associated to the hyperbolic group SH(n) of matrices. Using the concept of the unitary group representations over H 2 , and the voice-transform, specific hyperbolic wavelet constructions - Blaschke-wavelets and the associated Blaschke-Fourier transform are constructed. State space representations of systems over hyperbolic groups are discussed, too, with the purpose to explore the perspectives of elaborating a unified system theory upon this conceptual base.

关键词： Risk management Decision making Fuzzy sets Uncertainty Fuzzy set theory Reliability engineering Risk analysis Cybernetics Fuzzy systems Informatics

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A persistent cross-platform class objects container for C++ and wxWidgets

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WSEAS Transactions on Computers 2009年第5期8卷 778-787页

作者： Bližnák, Michal Dulík, Tomáš Vašek, Vladimír Department of Applied Informatics Faculty of Applied Informatics Tomas Bata University Nad Stráněmi 4511 760 05 Zlín Czech Republic Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University Nad Stráněmi 4511 760 05 Zlín Czech Republic

This paper introduces a new open-source cross-platform software library written in C++ programming language which is able to serialize and deserialize hierarchically arranged class instances and their data members via XML files. The library provides easy and efficient way for processing, storing and managing complex object-oriented data with relationships between object instances. The library is based on mature cross-platform toolkit called wxWidgets and thus can be successfully used on many target platforms such as MS Windows, Linux or OS X. The library is published under open source licence and can be freely utilised in both open source and commercial projects. In this article, we describe the inner structure of the library, its key algorithms and principles and also demonstrate its usage on a set of simple examples.

关键词： Containers

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Combination of activity and lying/standing data for detection of oestrus in cows

Combination of activity and lying/standing data for detectio...

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4th European Conference on Precision Livestock Farming, ECPLF 2009

作者： Jónsson, R.I. Blanke, M. Poulsen, N.K. Munksgaard, L. Højsgaard, S. Dept. of Electrical Engineering Tech. Univ. of Denmark DK-2800 Kgs. Lyngby Denmark Automation and Control Dept. of Informatics and Math. Modelling Tech. Univ. of Denmark DK-2800 Kgs. Lyngby Denmark Faculty of Agricultural Sciences Institute of Animal Health Welfare and Nutrition University of Aarhus Blichers Allé 20 DK-8830 Tjele Denmark Faculty of Agricultural Sciences Institute of Genetics and Biotechnology University of Aarhus Blichers Allé 20 DK-8830 Tjele Denmark

ISBN: (纸本)9789086861125

The objective of this study is to develop an algorithm for detecting oestrus in dairy cows from measurements of activity and duration of lying/standing periods. The algorithm derived in this paper analyses measurements of activity and measurements of lying/standing periods. Each cows activity is measured by a necklace attached sensor that returns an activity index for each hour. Lying period duration is measured by a sensor attached on the cows hind leg. Activity and lying/standing behaviour are modelled as a discrete event system, constructed using automata theory. In an attempt to capture a biologically inspired lying balance, a lying balance indicator is constructed and is influencing transition probabilities in the stochastic automaton. The cows lying-balance indicates how much the cow has been resting during the immediately past period, and the balance express to the automaton, the tendency of the cow to continue resting or not. Change detectors are designed based on probability maximization ideas and results of decision algorithms are presented for oestrus detection. Detection based on the lying balance indicator and the two sets of measured information are demonstrated to increase the detection sensitivity to 100% for the set of ten cows.

关键词： Discrete event simulation

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LMI based design for the Acrobot walking *

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IFAC Proceedings Volumes 2009年第16期42卷 461-466页

作者： Milan Anderle Sergej Čelikovský Didier Henrion Jiří Zikmund Czech Technical University in Prague Faculty of Electrical Engineering Department of Control Engineering Technická 2 166 27 Prague Czech Republic Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod vodárenskou věží 4 182 08 Prague Czech Republic LAAS-CNRS University of Toulouse 7 avenue du colonel Roche 31077 Toulouse France

Abstract This paper aims to further improve previously developed design for Acrobot walking based on partial exact feedback linearization of order 3. Namely, such an exact system transformation leads to an almost linear system where error dynamics along trajectory to be tracked is a 4-dimensional linear time-varying system having 3 time-varying entries only, the remaining entries being either zero or one. In such a way, exponentially stable tracking can be obtained by quadratically stabilizing a linear system with polytopic uncertainty. The current improvement is based on applying LMI methods to solve this problem numerically. This careful analysis significantly improves previously known approaches. Numerical simulations of Acrobot walking based on the above mentioned LMI design are demonstrated as well.

关键词： Linear matrix inequalities (LMI) underactuated mechanical systems walking robots

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