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Chinese control Conference (CCC)

作者： Qinghui Gao Yingmin Jia Changfang Cheng Fashan Yu The Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 China

In this paper, we present a model to elaborate the sources of randomness in multiple tiling array data. We also propose a new probe score system which integrate the intensity information of a probe and its neighbors. This new score system is obtained by using slide window and median polish strategies. These strategies firstly unify probe affect across probes and the array effect across arrays based on the region-specific fixed values interpreting the transcription levels of regions in probes, then unite these unified information into the region-specific fixed values. And this united information become a new standard to evaluate that probes are or aren't in transcriptional regions. Similar to median method, our method is a way that integrate the information from multiple arrays in the analysis stage rather than the results stage. A classical hidden Markov model (HMM) is used to model the distribution of tilling array probe scores in transcribed and non-transcribed regions and then to predict the transcribed fragments. The priority of the proposed score system is illustrated based on Affymetrix's RNA tiling array data.

关键词： Probes Arrays Hidden Markov models Bioinformatics Humans Genomics Biological system modeling

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Case study of unscented state estimation for batch distillation processes

Case study of unscented state estimation for batch distillat...

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9th IEEE International Conference on control and automation, ICCA 2011

作者： Miranda, Moira Edelmayer, András Encinoza, Adriana Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary School of Postgraduate Studies Sźechenyi University Egyetem t´er 1 H-9026 Gyor Hungary Laboratory of Unit Operations Department of Chemical Engineering University of Los Andes &#7742erida Venezuela

ISBN: (纸本)9781457714757

In this paper a comparative study on the use of extended and unscented Kalman filters for state estimation in nonlinear systems is presented. This is done to reveal the differences, and congruencies, in filters' synthesis in view of real plant implementation on embedded platforms. One of the objectives is to validate the usual performance measures of the filters, meant by state estimation, experimentally. Design features, such as the complexity of implementation and the sensitivity of the state initialization process on uncertain covariance information at regular filters startup are evaluated in a variety of real plant scenarios. A pilot plant of batch distillation process has been used for experimentation. © 2011 IEEE.

关键词： State estimation

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Performance evaluation of GNSS aided predictive multihomed NEMO configurations

Performance evaluation of GNSS aided predictive multihomed N...

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International Conference on ITS Telecommunications (ITST)

作者： József Kovács László Bokor Gábor Jeney PEN3C: Research Group of Pervasive Networks Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary Department of Telecommunications Budapest University of Technology & Economics Budapest Hungary

In this document we show the evaluation of an already introduced handover management solution which can be used to provide ubiquitous connections and seamless Internet access. The new solution makes use of GNSS location information and previous records of network parameters. The method exploits the benefits of multihomed mobility configurations. Based on actual GNSS coordinates and previously recorded data, the system is able to predict handovers and to prepare itself for the appearance of networks. By implementing the proposed solution in a real-life multihomed test environment, handover latency is almost totally eliminated.

关键词： Wireless LAN Mobile computing Global Navigation Satellite systems Databases 3G mobile communication Throughput

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Fault detection of an engine using a neural network trained by the smooth variable structure filter

Fault detection of an engine using a neural network trained ...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Ryan M. Ahmed Mohammed A. El Sayed S. Andrew Gadsden Saeid R. Habibi Department of Mechanical Engineering McMaster University Hamilton Ontario Canada Ford Motor Company interested in artificial intelligence fault detection and control systems Canada ASME National Sciences and Engineering Research Council of Canada Canada interests in fluid power systems sliding mode control and automation Department of Mechanical Engineering at McMaster University Canada

A multilayered neural network is a multi-input, multi-output (MIMO) nonlinear system in which training can be regarded as a nonlinear parameter estimation problem by estimating the network weights. In this paper, the relatively new smooth variable structure filter (SVSF) is used for the training of a nonlinear multilayered feed forward network. The SVSF is a recursive sliding mode parameter and state estimator that has a predictor-corrector form. Using a switching gain, a corrective term is calculated to force the network weights to converge to within a neighbourhood of the optimal weight values. SVSF-based trained neural networks are used to classify engine faults on the basis of vibration data. Two faults are induced in a four-stroke, eight-cylinder engine. Furthermore, a comparative study between the popular back propagation method, the extended Kalman filter (EKF), and the SVSF is presented. Experimental results indicate that the SVSF is comparable with the EKF, and both methods outperform back propagation.

关键词： Training Engines Covariance matrix Biological neural networks Equations Smoothing methods

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Training ANFIS system with DE algorithm

Training ANFIS system with DE algorithm

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International Workshop on advanced Computational Intelligence (IWACI)

作者： Allahyar Z. Zangeneh Mohammad Mansouri Mohammad Teshnehlab Ali K. Sedigh Computer Engineering Department Science and Research Branch Islamic Azad university of Tehran Iran Intelligent System laboratory (ISLAB) Control Department K. N. Toosi University of Technology Tehran Iran Advanced Process Automation & Control laboratory (APAC) Control Department K. N. Toosi University of Technology Tehran Iran

In this study, a new type of training the adaptive network-based fuzzy inference system (ANFIS) is presented by applying different types of the Differential Evolution branches. The TSK-type consequent part is a linear model of exogenous inputs. The consequent part parameters are learned by a gradient descent algorithm. The antecedent fuzzy sets are learned by basic differential evolution (DE/rand/1/bin) and then with some modifications in it. This method is applied to identification of the nonlinear dynamic system, prediction of the chaotic signal under both noise-free and noisy conditions and simulation of the two-dimensional function. Instead of DE/rand/1/bin, this paper suggests the complex type (DE/current-to-best/1+1/bin & DE/rand/1/bin) on predicting of Mackey-glass time series and identification of a nonlinear dynamic system revealing the efficiency of proposed structure. Finally, the method is compared with pure ANFIS to show the efficiency of this method.

关键词： Vectors Adaptive systems Input variables Training Mathematical model Equations Firing

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Preface

2012 IEEE Conference on Evolving and Adaptive Intelligent Sy...

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2012 IEEE Conference on Evolving and Adaptive Intelligent systems, EAIS 2012 - Proceedings 2012年 iii-iv页

作者： Angelov, Plamen Filev, Dimitar Kasabov, Nik Iglesias, José Antonio Communication Systems Department InfoLab21 Lancaster University Lancaster LA1 4WA United Kingdom Intelligent Control and Infonnation Systems Ford Research and Advanced Engineering 2101 Village Road MD #1437 Dearborn MI 48121 United States Knowledge Engineering and Discovery Research Institute School of Computing and Infonnatics Sciences Auckland University of Technology 581 Great South Rd 1020 Auckland New Zealand Carlos III University of Madrid Avda. Universidad 30 28911 Leganes Spain

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Freeway ramp metering: an LPV set theoretical analysis

Freeway ramp metering: an LPV set theoretical analysis

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American control Conference

作者： Tamas Luspay Balazs Kulcsar Tamas Peni Istvan Varga Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences H-1111 Kende u. 14-17. Budapest Hungary Department of Signals and Systems Chalmers University of Technology SE-412 96 Gothenburg Sweden

ISBN: (纸本)9781457700811

The paper contributes to the analysis of freeway traffic flow dynamics by set theoretic methods. First, the macroscopic, non-linear and second-order model of freeway traffic flow dynamics is transformed to an equivalent and quasi Linear Parameter Varying (LPV) representation by steady-state centering and state variable factorization. Second, a polytopic LPV model form is obtained from the quasi model reformulation. The latter polytopic LPV form is then used as a basis for the computation and analysis of disturbance invariant sets. This framework is able to characterize constrained sets of states which can be reached by pure ramp metering control input signals. Furthermore, these sets become invariant to other measured and unmeasured disturbance inputs. The application of disturbance invariant set theory provides an analytical tool for constrained freeway ramp metering describing the set of states being invariant under the system dynamics, measured disturbance and other physical constraints regardless to the value unmeasured disturbance signal. The proposed idea is fully based on the analysis of the (transformed) non-linear macroscopic system and aims at filling the gap between the traffic modeling and quantitative freeway ramp metering.

关键词： Set theory ramp metering polytopic systems linear parameter varying representations

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Vision system for mobile robots for tracking moving targets, based on robot motion and stereo vision information

Vision system for mobile robots for tracking moving targets,...

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IEEE/SICE International Symposium on System Integration

作者： Tae-Il Kim Wook Bahn Changhun Lee Tae-jae Lee Muhammad Muneeb Shaikh Kwang-soo Kim Automation and Systems Research Institute (ASRI) and School of Electrical Engineering and Computer Science Seoul National University Seoul South Korea Department of Control and Instrumentation Engineering Hanbat National University Daejeon South Korea

This paper presents a vision-tracking for mobile robots, which tracks a moving target based on robot motion and stereo vision information. The proposed system controls pan and tilt actuators attached to a stereo camera, using the data from a gyroscope, robot wheel encoders, pan and tilt actuator encoders, and the stereo camera. Using this proposed system, the stereo camera always faces the moving target. The developed system calculates the angles of the pan and tilt actuators by estimating the relative position of the target with respect to the position of the robot. The developed system estimates the target position using the robot motion information and the stereo vision information. The movement of the robot is modeled as the transformation of the frame, which consists of a rotation and a translation. The developed system calculates the rotation using 3-axis gyroscope data and the translation using robot wheel encoder data. The proposed system measures the position of the target relative to the robot, combining the encoder data of pan and tilt actuators and the disparity map of the stereo vision. The inevitable mismatch of the data, which occurs from the asynchrony of the multiple sensors, is prevented by the proposed system, which compensates for the communication latency and the computation time. The experimental results show that the developed system achieves excellent tracking performance in several motion scenarios, including combinations of straights and curves and climbing of slopes.

关键词： Cameras Mobile robots Robot vision systems Actuators Instruction sets

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Pole structure estimation from laguerre representations using hyperbolic metrics on the unit disc

Pole structure estimation from laguerre representations usin...

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IEEE Conference on Decision and control

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

ISBN: (纸本)9781612848006

This paper proposes a new approach to identification of the poles in a linear system from frequency domain data. The discrete rational transfer function is represented in a rational Laguerre-basis, where the basis elements can be expressed by powers of the Blaschke-function. This function can be interpreted as a congruence transform on the Poincaré unit disc model of the hyperbolic geometry, leading to a nice geometric interpretation of the identification algorithm. Convergence results in hyperbolic metrics will be given. The full procedure is illustrated by simulation examples.

关键词： Hafnium Estimation Frequency measurement Geometry Transforms Convergence

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Vehicle yaw control via coordinated use of steering/braking systems

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IFAC Proceedings Volumes 2011年第1期44卷 644-649页

作者： M. Doumiati O. Sename J. Martinez P. Gaspar Z. Szabo L. Dugard J. Bokor Gipsa-Lab UMR CNRS 5216 Control Systems Department Grenoble Institute of Technology ENSE3 BP 46 38402 Saint Martin d'Hères France Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary

Abstract The aim of this paper is to present a novel methodology that deals with steering/braking coordination task for vehicle yaw control. For steerability enhancement, only active steering control is involved. However, when the vehicle reaches the handling limits, both steering and braking collaborate together to ensure vehicle stability. Judging the vehicle stability region is deduced from the phase-plane of the sideslip angle and its time derivative. The coordination of the steering/braking actuators is achieved through a suitable gain scheduled LPV (Linear Parameter Varying) controller. The controller is synthesized within the LMI (Linear Matrix Inequalities) framework, while warranting H ∞ performances. The simulation results show the effectiveness of the proposed control scheme when the vehicle is subject to various driving situations.

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