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Properties of the Parametric Lyapunov Equation-Based Low-Gain Design With Applications in Stabilization of Time-Delay Systems

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IEEE Transactions on Automatic control 2009年第7期54卷 1698-1704页

作者： Bin Zhou Zongli Lin Guang-Ren Duan Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA USA

This technical note studies some properties of the recently developed parametric Lyapunov equation based low gain feedback design method. As applications of these new properties, alternative and simpler solutions are proposed to the (global) stabilization problem for a class of linear systems with input delay and the semi-global stabilization problem when the systems are in addition subject to actuator saturation. Besides the simplicity in their construction, the new solutions can also be easily scheduled online to achieve global result in the presence of input saturation.

关键词： Feedback Linear systems control systems Delay systems Hydraulic actuators Riccati equations Lyapunov method Delay estimation Design methodology Nonlinear control systems

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Factoring Dynamic Bayesian Networks Based on Structural Observability

Factoring Dynamic Bayesian Networks Based on Structural Obse...

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

作者： Indranil Roychoudhury Gautam Biswas Xenofon Koutsoukos SGT Inc.at NASA Ames Research Center Institute for Software Integrated Systems and the Department of Electrical Engineering and Computer ScienceVanderbilt University

Dynamic Bayesian Networks(DBNs) provide a systematic framework for robust online monitoring of dynamic *** paper presents an approach for increasing the efficiency of online estimation by partitioning a system DBN into a set of smaller factors,such that estimation algorithms can be applied to each factor *** factoring scheme is based on the analysis of structural observability of the dynamic *** establish the theoretical background for structural observability and derive an algorithm for generating the factors using structural observability *** present experimental results to demonstrate the effectiveness of our factoring approach for accurate estimation of system behavior.

关键词： DBN Factoring Dynamic Bayesian Networks Based on Structural Observability Bayesian

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Interior permanent magnet synchronous motor (IPMSM), with a developed brain emotional learning based intelligent controller (BELBIC)

Interior permanent magnet synchronous motor (IPMSM), with a ...

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IEEE International Conference on Electric Machines and Drives (IEMDC)

作者： E. Daryabeigi Gh. Arab Markadeh C. Lucas Electrical Engineering Department of Islamic Najafabad branch Islamic Azad University슠 Isfahan Iran Faculty of engineering Department Shahrekord University Shahrekord Iran Iranian Control & Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

In this paper, a modern intelligent control based on computational model of mammalian limbic system and emotional processes (BELBIC) is presented for speed control of interior magnet synchronous motor (IPMSM). In this work, a novel and simple model of IPMSM motor drive control plant is achieved by using the intelligent control system, which controls motor speed accurately, without needing to using any conventional controllers and also, quite independent of motor parameters. This work was successfully implemented in real time for a laboratory 1-hp IPMSM drive, but this time it is done in simulation by a new control plant for that, which compared with together. Achieved results of the proposed plant show better operating control than the previous plant. The results show excellent control characteristics especially very fast response, simple implementation and robustness with respect to disturbances and manufacturing imperfections. This type of intelligent controllers that has high auto learning speed with simple structure shows superior praxis for industrial scale utilization.

关键词： Permanent magnet motors Synchronous motors Intelligent control Computational intelligence Computational modeling Velocity control Motor drives control system synthesis Laboratories Robust control

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Rapid automatic segmentation and visualization of teeth in CT-scan data

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Journal of Applied Sciences 2009年第11期9卷 2031-2044页

作者： Akhoondali, H. Zoroofi, R.A. Shirani, G. Control and Intelligent Processing Center of Excellence Faculty of Engineering School of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Oral and Maxillofacial Surgery Faculty of Dentistry Medical Science University of Tehran Tehran Iran

In this study, a fast automatic method is proposed for the segmentation and visualization of teeth in multi-slice CT-scan data of the head. The algorithm consists of five main procedures. In the first part, the mandible and maxilla are separated using maximum intensity projection in the y direction and a step like region separation algorithm. In the second part, the dental region is separated using maximum intensity projection in the z direction, thresholding and cropping. In the third part, the teeth are rapidly segmented using a region growing algorithm based on four thresholds which are used to distinguish between seed points, teeth and none teeth tissue. In the fourth part, the results are visualized using iso-surface extraction and surface and volume rendering. A semi-automatic method is also proposed for rapid metal artifact removal. Results on multiple dadasets have shown the success of the algorithm with the dental region separation and segmentation procedure taking an average of only 2.4 sec to complete for each jaw making it at least tens of times faster than any previously proposed method. © 2009 Asian Network for Scientific Information.

关键词： computerized tomography

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Norm Vanishment and Its Applications in Constrained control– Part Ⅰ: the L∞ Case

Norm Vanishment and Its Applications in Constrained Control...

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

作者： Bin Zhou Zongli Lin Guang-Ren Duan the Center for Control Theory and Guidance Technology Harbin Institute of Technology the Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

Low gain feedback has found several applications in constrained control, robust control and nonlinear *** gain feedback refers to a family of stabilizing state feedback gains that are parameterized in a scalar and go to zero as the scalar decreases to *** peaking, the peak value of the state of the closed-loop system increasing towards infinity as the time goes to infinity and the value of the low gain parameter decreases to zero, is a prominent phenomenon resulting from low gain *** success of low gain feedback design lies in the fact that such slow peaking gets canceled when the state is multiplied by the feedback gain to obtain the control *** this paper, we generalize the existing low gain design methods by introducing the notion of L -vanishment and providing a full characterization of low gain feedback that achieves such an L -vanishment property.A time domain signal parameterized by a scalar ε possesses the L -vanishment property if its L norm approaches zero as ε *** notion of L -vanishment not only facilitates the description of low gain feedback and the resulting slow peaking phenomenon, but also allows us to establish a systematic approach to the design of low gain feedback.A salient feature of this new design approach is that it results in all possible low gain feedback laws, including those resulting from the existing design methods.

关键词： the L2 Case Norm Vanishment and Its Applications in Constrained control

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Fully automatic extraction of panoramic dental images from CT-scan volumetric data of the head

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Journal of Applied Sciences 2009年第11期9卷 2106-2114页

In this study, a fully automatic technique is proposed for the extraction of panoramic dental images from CT-scan images of the teeth. The process is performed in three steps: Mandibular region isolation, mandibular curve creation and panoramic image extraction. First the mandibular region is isolated. To do this the maxilla and mandible are separated from each other by finding the slice separating them. Then an image of the maximum intensity projection of the slices containing the mandible is obtained. The projection of the mandible is then isolated from the other bones. Using the isolated mandible region an initial curve is created. Nine control points are then selected on the curve. These control points are used to create a fine curve using cubic splines. The formula for each spline segment is used to find the perpendicular lines to the spline on each point on the spline. These perpendicular lines are then used in all slices (mandible and maxilla) to create the panoramic images. The algorithm has many advantages over earlier methods. Results using multiple datasets have shown that the algorithm is robust. © 2009 Asian Network for Scientific Information.

关键词： computerized tomography

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Model predictive control of fuel cell micro cogeneration systems

Model predictive control of fuel cell micro cogeneration sys...

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2009 IEEE International Conference on Networking, Sensing and control, ICNSC 2009

作者： Houwing, Michiel Negenborn, Rudy R. Ilic, Marija D. Schutter, Bart De Faculty of Technology Policy and Management of Delft University of Technology Jaffalaan 5 2628 BX Delft Netherlands Departments of Electrical and Computer Engineering and Engineering and Public Policy Carnegie MellonUniversity Pittsburgh PA United States Delft Center for Systems and Control of Delft University of Technology Mekelweg 2 2628 CD Delft Netherlands Marine and Transport Technology Department of Delft University of Technology Netherlands

ISBN: (纸本)9781424434923

With the increasing application of distributed energy resources and information technologies in the electricity infrastructure, innovative possibilities for incorporating the demand side more actively in power system operation are enabled. At the residential level energy costs could be reduced with intelligent price-based control concepts (demand response). A promising, controllable, residential distributed generation technology is micro cogeneration (micro-CHP). Micro-CHP is an energy efficient technology that simultaneously provides heat and electricity to households during operation. This paper presents a detailed model of a household using a proton exchange membrane fuel cell (PEMFC) micro- CHP system in conjunction with heat storage options to fulfil its heat and part of its electricity demand. Furthermore, a decentralised controller based on a model predictive control (MPC) strategy is proposed. MPC can take benefit of future knowledge on prizes and energy demands and can therefore lead to better system performance. In simulations the performance of the MPC-controlled PEMFC system is illustrated under different conditions regarding energy pricing, domestic energy demand, and system configuration. © 2009 IEEE.

关键词： Model predictive control

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Neuro-fuzzy based fault diagnosis of a Steam Generator

Neuro-fuzzy based fault diagnosis of a Steam Generator

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7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Systems, SAFEPROCESS'09

作者： Razavi-Far, Roozbeh Davilu, Hadi Palade, Vasile Lucas, Caro Department of Nuclear Engineering Amirkabir University of Technology P.O. Box 15875 4413 Tehran Iran Computing Laboratory Oxford University Wolfson Building Parks Road Oxford OX1 3QD United Kingdom Center of Excellence on Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395 1515 Tehran Iran

ISBN: (纸本)9783902661463

This paper focuses on the development and application of a Neuro-Fuzzy (NF) networks-based scheme for Fault Detection and Isolation (FDI) in a U-tube Steam Generator (UTSG). First, a NF network is trained with data collected from a full scale UTSG simulator, and residuals are generated for fault detection. To identify the UTSG, a Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained using the Locally Linear Model Tree (LOLIMOT) algorithm which is an incremental tree structure algorithm. Then, an evolutionary algorithm is used to train a Mamdani type NF network to classify the residuals. The residuals are analyzed by using this NF classifier for fault isolation purposes. © 2009 IFAC.

关键词： Fault detection

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Gastrectomy surgical assistive instrument for accurate remnant stomach volume

Gastrectomy surgical assistive instrument for accurate remna...

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IEEE International Conference on Robotics and Biomimetics

作者： Nancy Dib Imad Elhajj Sally Antoun Georges Al-Hajj Department of Electrical and Computer Engineering American University of Beirut Beirut Lebanon Middle East Institute of Health Obesity and Weight Control Center Bsalim Lebanon

A surgical assistive device for the Sleeve Gastrectomy surgery is presented in this paper. Sleeve Gastrectomy is based on reducing the size of the stomach. The purpose of this instrument is to assist surgeons obtain accurate remnant stomach volume. The paper presents the hardware and interface design of the device. The device is composed of an inflatable cylinder to be inserted in the stomach and a panel to control the volume of the cylinder. Prototype laboratory test results gave an accuracy of about 97% for different desired volumes.

关键词： Surgical instruments Stomach Oncological surgery Engine cylinders Switches Volume measurement Cardiac disease Laparoscopes Robots Biomimetics

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PH control of penicillin fermentation process using predictive approach

PH control of penicillin fermentation process using predicti...

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作者： Ashoori, Ahmad Moshiri, Behzad Ramezani, Amin Bakhtiari, Mohammad Reza Khaki-Sedigh, Ali Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Iranian Research Organization for Science and Technology Iran Department of Electrical Engineering K.N. Toosi University of Technology Tehran Iran Box No. 83 2205 Lower Mall Vancouver BC V6T 1Z4 United States

Bioprocesses which are involved in producing different pharmaceutical products may conveniently be classified according to the mode chosen for the process: cither batch, fed-batch or continuous. From the control engineer's viewpoint they are fed-batch processes, which present the greatest challenge to get a pure product with a high concentration. Complicated dynamics, nonline-arity and non-stationarity make controlling them a very delicate task. pH control of bioreactors has been an interesting problem from both implementation and controller design points of view. This is particularly true if the complex microbial interactions yield significant nonlinear behavior. When this occurs, conventional control strategies may not succeed and more advanced strategies need to be suggested. This paper discusses model predictive control (MPC) based on a detailed unstructured model for penicillin production in a fed-batch fermentor. The approach used here is to use quadratic cost function for pH regulation, while taking into account control signal fluctuations in the optimization block. The result of applying the obtained controller and also its sensitivity to disturbance have been displayed and compared with the results of an auto-tuned PID controller used in previous works. The merit of this method is its low computational cost of solving the optimization problem, while leading to a closed form controller as well.

关键词： Model predictive control

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