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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： A.H.Tahoun Huajing Fang the Department of Control Science and Engineering Huazhong University of Science and Technology the Department of Computer and Automatic Control Tanta University

In this paper, adaptive state feedback actuator failure compensator for networked control systems(NCSs) with state dependent disturbances are *** obstacles of NCSs such as;transmission delays and data-packets dropout induced by the insertion of data networks in the feedback adaptive control loops are also *** laws are designed for updating the controller ***-loop stability is *** results show that the desired performance is achieved with the developed adaptive actuator failure compensation control *** results are given to illustrate the effectiveness of our design approach.

关键词： dropout Adaptive Actuator Failure Compensation Design for Networked control Systems with State-Dependent Disturbances

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New features of Easy Java simulations for 3D modeling

New features of Easy Java simulations for 3D modeling

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作者： Jara, Carlos A. Esquembre, Francisco Candelas, Francisco A. Torres, Fernando Dormido, Sebastián Department of Physics System Engineering and Signal Theory University of Alicante Alicante Spain Department of Mathematics University of Murcia Murcia Spain Department of Computer Science and Automatic Control UNED University Madrid Spain

ISBN: (纸本)9783902661562

This paper presents a new interface framework which has been added to Easy Java Simualtions' environment in order to improve its graphical features for 3D modeling. These new 3D capabilities provide users a set of new view elements which can be used to develop models with a high degree of reality. In this way, Easy Java Simulations becomes a powerful tool to easily and quickly create 3D realistic simulations.

关键词： Virtual reality

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The indoor SLAM using multiple three dimension sensors integration

The indoor SLAM using multiple three dimension sensors integ...

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IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Chanin Joochim Hubert Roth Department of Electrical Engineering and Computer Science Institute of Automatic Control Engineering University of Siegen Germany

The high performance mobile robots nowadays should operate themselves in many applications. One attractive task is to build the map, meanwhile estimate their poses for the locomotion in real time. The simultaneous localization and mapping (SLAM) technique is once technique which can solve this demand. The selecting sensors are essential factors for generation the high accuracy output. This paper present, the applying a new 3D sensor namely the photonic mixer devices (PMD) provides a real-time capturing of surrounding volume. However the output of PMD is very excellent depth metric, to recognize the complex objects is still faultily because of the low resolution output (64 × 48 pixels). The 2D high resolution camera inspires to compensate the PMD camera's drawback. The high resolution image output is registered on the 3D volume. The visual input from the 2D camera does not delivers only high resolution texture data on 3D volume but it is also used for object recognition. Finally, the iterative closest point (ICP) algorithm is used for the image registration in order to yield the real time 3D data frames registration.

关键词： Simultaneous localization and mapping Cameras Robot vision systems Mobile robots Iterative closest point algorithm Application software automatic control Image registration Intelligent robots Sensor phenomena and characterization

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Congestion control of Tcp/Aqm networks: Does the simulation tool change results?

Congestion control of Tcp/Aqm networks: Does the simulation ...

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IEEE International Conference on Industrial engineering and engineering Management

作者： Teresa Alvarez Anuar Salim Mohamed Bolajraf Department of Engineering Science and Automatic Control School of Computer Engineering University of Valladolid Valladolid Spain

ISBN: (纸本)9781424448692

The simulation of congestion control algorithms of TCP networks is discussed in this paper. Simulation is a widespread procedure for testing and understanding how real systems evolve. Internet has a great impact in our society. Everyone wants fast and reliable links, but sometimes congestion happens because the network delay and the number of users fluctuate from one moment to the next. There are different approaches for dealing with congestion: classical (such as drop tail or RED) or process control techniques (PID, predictive control or fuzzy). Future engineers need to learn about this topic. So it seems logical to use simulation, but which tools should we use? This paper presents a comparison using three different simulation programs: Matlab, EcosimPro and ns-2. Results show that, depending on what we want, we should choose different tools.

关键词： Mathematical model Computational modeling Communication system control Power system modeling automatic control Internet Three-term control Telecommunication control control systems Reliability engineering

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Fault Detection and Diagnosis using Multivariate Statistical Techniques in a Wastewater Treatment Plant. *

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IFAC Proceedings Volumes 2009年第11期42卷 952-957页

作者： D. Garcia-Alvarez M.J. Fuente P. Vega G. Sainz Department of Systems Engineering and Automatic Control University of Valladolid 47011 Valladolid Spain Department of Computer Science and Control University of Salamanca ETSII 37700 Bejar (Salamanca) Spain

Abstract In this paper Principal Components Analysis (PCA) is used for detecting faults in a simulated wastewater treatment plant (WWTP). Diagnosis tasks are treated using Fisher discriminant analysis (FDA). Both techniques are multivariate statistical techniques used in multivariate statistical process control (MSPC) and fault detection and isolation (FDI) perspectives. PCA reduces the dimensionality of the original historical data by projecting it onto a lower dimensionality space. It obtains the principal causes of variability in a process. If some of these causes change, it can be due to a fault in the process. FDA provides an optimal lower dimensional representation in terms of a discriminant between classes of data, where, in this context of fault diagnosis, each class corresponds to data collected during a specific and known fault. A discriminant function is applied to diagnose faults using data collected from the plant.

关键词： Fault detection Fault diagnosis Statistical process control Wastewater treatment plant Discriminant analysis

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Stochastic Meta Descent in online kernel methods

Stochastic Meta Descent in online kernel methods

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International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Supawan Phonphitakchai Tony J. Dodd Department of Electrical and Computer Engineering Naresuan University Thailand Department of Automatic Control and Systems Engineering University of Sheffield UK

Learning system is a method to approximate an underlying function from a finite observation data. Since batch learning has a disadvantage in dealing with large data set, online learning is proposed to prevent the computational expensive. Iterative method called Stochastic Gradient Descent (SGD) is applied to solve for the underlying function on reproducing kernel Hilbert spaces (RKHSs). To use SGD in time-varying environment, a learning rate is adjusted by Stochastic Meta Descent (SMD). The simulation results show that SMD can follow shifting and switching target function whereas the size of model can be restricted using sparse solution.

关键词： Stochastic processes Kernel Function approximation Hilbert space Iterative methods Machine learning Stochastic systems Data engineering Systems engineering and theory Modeling

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Linear model of a three-phase circuit characteristics

Linear model of a three-phase circuit characteristics

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International Conference on Electrical Power Quality and Utilisation (EPQU)

作者： Wcislik Miroslaw Department of Electric Engineering Automatic Control and Computer Science Kielce University of Technology Kielce Poland

The paper deals with a general form of a mathematical model of a three-phase electric circuit characteristics. A form of the model with using dimensionless variables is discussed. In general form of the linear AC circuit, the steady-state circuit characteristics are nonlinear functions of circuit elements and signals parameters. The linearized model of the asymmetrical circuit with linear loads is derived in matrix-vector notation. The model consists of sensivity function of the circuit-phase currents versus load voltages, supply voltages, phase inductances and supply voltages frequency described analytically in form of matrices or vector. As reference the symmetric (balanced) three-phase circuit was used. An example of application of this model to the determination of the inductances of the circuit is given.

关键词： Circuits Voltage Mathematical model automatic control Steady-state Furnaces Power system modeling Symmetric matrices Frequency control system synthesis

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Optimization-based digital redesign of analogue controllers

Optimization-based digital redesign of analogue controllers

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： K.Yu.Polyakov E.N.Rosenwasser B.P.Lampe the Department of Automatic Control State University of Ocean Technology the Department of Computer Science and Electrical Engineering University of Rostock

A novel method is proposed for the digital redesign of analogue controllers with account for the closed-loop system performance in continuous *** method,which is based on a two-level optimization algorithm,makes it possible to place the closed-loop poles inside a specified region of the complex plane and provides for reduced-order *** effectiveness of the proposed technique is demonstrated by some well-known redesign examples.

关键词： Sampled-data systems Digital redesign Modal control Parametric design Optimization Numerical methods

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Optimal path planning in the workspace for articulated robots using mixed integer programming

Optimal path planning in the workspace for articulated robot...

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2009 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Hao Ding Mingxiang Zhou Olaf Stursberg Institute of Control and System Theory Department of Electrical Engineering and Computer Science University of Kassel Germany Institute of Automatic Control Engineering Munchen Germany

This paper considers the task of path planning for articulated robots such that the end effector is driven optimally between two points in the workspace while collision with dynamic obstacles is avoided. Compared to path planning in the configuration space, approaches in the workspace save the computationally expensive step of mapping obstacles from the workspace into the configuration space. The method presented here builds on a problem formulation as a mixed-integer program considering time-varying constraints resulting from moving obstacles, as well as state and input constraints depending on the region of the work space. The method is applied to a two-link robot with static and moving obstacles and is evaluated for different situations.

关键词： Path planning Linear programming Orbital robotics Intelligent robots Dynamic programming Trajectory Collision avoidance Motion planning Robotics and automation automatic control

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Fault detection in processes with multiple operation modes using switch-PCA and analysis of grade transitions

Fault detection in processes with multiple operation modes u...

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European control Conference (ECC)

作者： D. Garcia-Alvarez M.J. Fuente P. Vega Department of Systems Engineering and Automatic Control University of Valladolid Valladolid Spain Department of Computer Science and Control University of Salamanca Bejar Salamanca Spain

In this paper Principal Components Analysis (PCA) is used for detecting faults in a plant with multiple operation modes. PCA reduces the dimensionality of the original historical data by projecting it onto a lower dimensionality space. It obtains the principal causes of variability in a process. If some of these causes change, it can be due to a fault in the process. The classical PCA approach confuses changes in operation mode with faults. This paper deals with this problem using a switching structure to deal with different operation modes. The transitory states between the operation modes are dealt with using a PCA approach used in batch processes. The implemented method has been proved in a simulated two-communicated-tanks plant.

关键词： Principal component analysis Vectors Monitoring Computational modeling Switches Arrays Fault detection

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