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IEEE International Symposium on Intelligent Signal Processing

作者： Abraham Otero Teodor Akinfiev Roemi Fernandez Francisco Palacios Department of Information and Communications Systems Engineering University San Pablo CEU Madrid Spain Automatic Control Department Spanish Council of Scientific Research IAI/CSIC-Industrial Automation Institute Madrid Spain Critical Care Unit University Hospital Getafe Madrid Spain

ISBN: (纸本)9781424450572

This paper presents a patent-pending device capable of recording and supervising the urine output of a critical care patient. The device is based on a high precision scale that measures the weight of a commercial urine meter. To isolate the device from the patient's movements, and to guarantee that the urine flows properly through the various tubes of the urine meter, we have designed a support frame made up of Bosch profiles. The scale's readings are captured by an electronic unit and sent to a PC via Bluetooth. A Java application running on the PC records them and supervises the therapeutic goals that the healthcare staff has established for the urine output, and warns of any deviation from these goals. This device does not break the sterility of the commercial urine meter and is easy to build with readily available components. Therefore, this solution is ideal to conduct a series of clinical studies based on a more continuous and accurate monitoring of urine output throughout the stay of a patient in a critical care unit.

关键词： Biomedical monitoring Medical services Patient monitoring Containers automation Java Computerized monitoring Condition monitoring Signal processing Automatic control

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Comparison of rotary cement kiln identified models

Comparison of rotary cement kiln identified models

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International Conference on control and automation (ICCA)

作者： G. Noshirvani A. Fatehi B. Araabi M. Shirvani M. Azizi ACER Markaz Branch Arak Iran Advanced Process Automation & Control Research group Electrical Engineering Department K.N. Toosi University of Technology Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran Chemical Engineering Department and member of Cement Research Center University of Science and Technology Tehran Iran Saveh Cement Company Saveh Iran

Rotary cement kiln is the main part of a cement plant that clinker is produced in it. Clinker is the main ingredient of cement. Continual and prolonged operation of rotary cement kiln is vital in cement factories. However, prolonged operation of the kiln is not possible and periodic repairs of the refractory lining would become necessary, due to non-linear phenomena existing in the kiln, such as sudden falls of coatings in the burning zone and probability of damages to the refractory materials during production. This is the basic reason behind the needs for a comprehensive model which is severely necessary for better control of this process. Such a model can be derived based on the mathematic analysis with consultation of expert operator experiences. In this paper both linear and nonlinear model are identified for rotary kiln of Saveh white cement factory. The linear model is introduced using Box-Jenkins structure. The results of the obtained model were satisfactory compared to some other linear models and can be used for designing adaptive or robust controllers. Also, nonlinear system identification via Neural Network technique is performed and its result was compared to linear models.

关键词： Kilns Production facilities Coatings Building materials Process control Mathematical model Mathematics Programmable control Adaptive control Robust control

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A beacon selected localization algorithm for Ad-Hoc networks of sensors

A beacon selected localization algorithm for Ad-Hoc networks...

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IEEE International Conference on Mechatronics and automation

作者： Lingfei Wu Max Q.-H. Meng Huawei Liang Department of Automation University of Science and Technology Hefei Anhui China Center of Biomimetic Sensing and Control Research Institute of Intelligent Machines Chinese Academy and Sciences Hefei Anhui China Advanced Robot Technology The key Laboratory of Biomimetic Sensing Anhui Province Department of Automation University of Science and Technology of China Hefei Anhui Province China Center for Biomimetic Sensing and Control Research Chinese Academy of Sciences Hefei Anhui Province China Department of Electronic Engineering Chinese University of Hong Kong Sha tian Hong Kong

Aiming at the positioning problem of Ad-Hoc networks of sensors node location, a beacon selected localization algorithm (BSLA) is proposed in this paper. The proposed method considers sufficiently both the topology relationship among beacons and the topology relationship between beacon nodes and unknown nodes. We introduce the concept of collinearity and apply it into the localization of the multihop networks. Through selecting best anchor terms by using collinearity parameter, node position estimate can be attained with a weighted estimate mechanism. A well-established data analysis technique- Pauta Criterion is used to filter out the erroneous position estimate to achieve higher localization accuracy. Simulation results show that the performance of BSLA outweighs the traditional DV-Hop and DV-distance algorithms whether in regular networks or in irregular networks (C shape networks).

关键词： Ad hoc networks Wireless sensor networks Network topology Shape Robotics and automation Spread spectrum communication Data analysis Filters Mechatronics Biosensors

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Generating stationary entangled states in superconducting qubits

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Physical Review A 2009年第5期79卷 052308-052308页

作者： Jing Zhang Yu-xi Liu Chun-Wen Li Tzyh-Jong Tarn Franco Nori Advanced Science Institute The Institute of Physical and Chemical Research (RIKEN) Wako-shi Saitama 351-0198 Japan Department of Automation Tsinghua University Beijing 100084 People’s Republic of China CREST Japan Science and Technology Agency (JST) Kawaguchi Saitama 332-0012 Japan Department of Electrical and Systems Engineering Washington University St. Louis Missouri 63130 USA Department of Physics Center for Theoretical Physics Center for the Study of Complex Systems The University of Michigan Ann Arbor Michigan 48109-1040 USA

When a two-qubit system is initially maximally entangled, two independent decoherence channels, one per qubit, would greatly reduce the entanglement of the two-qubit system when it reaches its stationary state. We propose a method on how to minimize such a loss of entanglement in open quantum systems. We find that the quantum entanglement of general two-qubit systems with controllable parameters can be controlled by tuning both the single-qubit parameters and the two-qubit coupling strengths. Indeed, the maximum fidelity Fmax between the stationary entangled state, ρ∞, and the maximally entangled state, ρm, can be about 2/3≈max{tr(ρ∞ρm)}=Fmax, corresponding to a maximum stationary concurrence, Cmax, of about 1/3≈C(ρ∞)=Cmax. This is significant because the quantum entanglement of the two-qubit system can be produced and kept, even for a long time. We apply our proposal to several types of two-qubit superconducting circuits and show how the entanglement of these two-qubit circuits can be optimized by varying experimentally controllable parameters.

关键词： Quantum entanglement

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Scaling reduction of port-Hamiltonian systems for numerical calculation

Scaling reduction of port-Hamiltonian systems for numerical ...

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ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009

作者： Nishida, Gou Ichishima, Daiji Kashima, Kenji Fujimoto, Kenji Yamakita, Masaki Maschke, Bernhard Ikeura, Ryojun Robotic Motion Lab. Advanced Science Institute RIKEN Japan Research and Development Center Sumitomo Heavy Industries Ltd. Japan Department of Mechanical and Environmental Informatics Graduate School of Information Science and Engineering Tokyo Institute of Technology Japan Department of Mechanical Science and Engineering Graduate School of Engineering Nagoya University Japan Department of Mechanical and Control Systems Engineering Tokyo Institute of Technology Japan Laboratoire d'Automatique et de Génie des Procédés UMR CNRS 5007 Université Claude Bernard Lyon 1 France Department of Mechanical Engineering Mie University Denmark

ISBN: (纸本)9784907764333

We present a novel reduction method of port-Hamiltonian systems by a renormalization group. The reduced system is suitable for a fast numerical calculation in a mesoscopic scale. Especially, we aim at the development of renormalized molecular dynamics with controls. First, we define a renormalized Hamiltonian with coarse graining. Next, we introduce a renormalized canonical Hamiltonian system. Moreover, we clarify the relationship between the renormalized Hamiltonian system and a Dirac structure. Finally, we obtain necessary conditions of boundary connections for each renormalized Hamiltonian system with different scales. © 2009 SICE.

关键词： Hamiltonians

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Data Mining Based Feedback Regulation in Operation of Hematite Ore Mineral Processing Plant

Data Mining Based Feedback Regulation in Operation of Hemati...

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2009 American control Conference (ACC 2009)

作者： Jinliang Ding Qi Chen Tianyou Chai Hong Wang Chun-Yi Su Key Laboratory of Integrated Automation of Process Industry (Northeastern University) Ministry of Education and Research Center of Automation Northeastern University Shenyang 110004 China Control Systems Centre The University of Manchester Manchester M60 1QD UK Department of Mechanical Engineering Concordia University Montreal Quebec H3G 1M8 Canada

ISBN: (纸本)9781424445233

To deal with the variation of production operation of the mineral processing plant, the data-mining based feedback regulation strategy is proposed to compensate the open loop steady state setting of the production unit at the plant-wide level. Rough set and increment association rule learning are used for the feedback regulation rule extraction from the historical operation data. To realize the feedback compensator two steps are carried out: (1) Determining the variables to be compensated based on rough set, (2) Mining the compensation rules through the increment association rule learning and rough set. The efficiency of the proposed strategy is proven by the experiments.

关键词： Data mining Ores Minerals control systems Production Steady-state Association rules Optimal control Feedback loop State feedback

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Impedance model force control using neural networks for a desktop NC machine tool

Impedance model force control using neural networks for a de...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Fusaomi Nagata Takanori Mizobuchi Shintaro Tani Keigo Watanabe Tetsuo Hase Zenku Haga Maki K. Habib Department of Electronics and Computer Science Tokyo University of Science Sanyo-Onoda Yamaguchi Japan Research and Development Center Meiho Company Limited Nogata Japan Department of Advanced Systems Control Engineering Graduate School of Science and Engineering Saga University Saga Japan Mechanical Engineering Department School of Sciences and Engineering American University Cairo Cairo Egypt

In manufacturing industries of metallics molds, various NC machine tools are used. We have already proposed a desktop NC machine tool with compliance control capability to automatically cope with the finishing process of LED lens molds. The NC machine tool has an ability to control the polishing force acting between an abrasive tool and workpiece. The force control method is called impedance model force control. The most important gain is the desired damping of the impedance model. Ideally, the desired damping is calculated from the critical damping condition in consideration of the effective stiffness in force control system. However, one of the serious problems is that the effective stiffness of the NC machine tool has undesirable nonlinearity. The nonlinearity gives bad influences to the force control stability. In this paper, a fine tuning method of the desired damping is considered by using neural networks. The neural networks acquire the nonlinearity of effective stiffness. It has been observed that the desired damping generated from the learned neural networks allows the NC machine tool to achieve a stable finishing result.

关键词： Impedance Force control Neural networks Computer numerical control Damping Automatic control Finishing Manufacturing industries Light emitting diodes Lenses

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Orthogonal-type robot with a CAD/CAM-based position/force controller

Orthogonal-type robot with a CAD/CAM-based position/force co...

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IEEE Symposium on Computational Intelligence in control and automation, CICA

作者： Fusaomi Nagata Shintaro Tani Takanori Mizobuchi Tetsuo Hase Zenku Haga Masaaki Omoto Keigo Watanabe Department of Electronics and Computer Science Tokyo University of Science Yamaguchi Japan Research and Development Center Meiho Company Limited Nogata Japan R&D Center Meiho Co. Ltd. Nogata Department of Advanced Systems Control Engineering Graduate School of Science and Engineering Saga University Saga Japan

In this paper, a new desktop orthogonal-type robot with a CAD/CAM-based position/force controller is presented for finishing small metallic molds with curved surface. The robot consists of a three-axis robot whose single one has a high position accuracy of 1 mum, which means that it can perform higher resolutions of position and force, compared to general industrial robots. A thin wood stick tool with a ball-end tip is attached to the z-axis through a force sensor. The control system of the robot is comprised of a force feedback loop, position feedback loop and position feedforward loop. The force feedback loop controls the polishing force consisting of tool contact force and kinetic friction forces. The position feedback loop controls the position in pick feed direction. Further, the position feedforward loop leads the tool tip along a spiral path. We first evaluate the backlash that causes inaccuracy in position at the tip of the abrasive tool, by simply measuring the position and force. Next, a surface following control experiment along a lens mold is conducted, in which the mold has axis-symmetric concave areas. Finally, a LED lens mold is further finished by using the proposed system in order to demonstrate the performance and promise.

关键词： Force control Service robots Force sensors Force feedback Robot sensing systems Feedback loop Force measurement Lenses Surface finishing Electrical equipment industry

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Cooling and squeezing the fluctuations of a nanomechanical beam by indirect quantum feedback control

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Physical Review A 2009年第5期79卷 052102-052102页

作者： Jing Zhang Yu-xi Liu Franco Nori Advanced Science Institute The Institute of Physical and Chemical Research (RIKEN) Wako-shi Saitama 351-0198 Japan Department of Automation Tsinghua University Beijing 100084 People’s Republic of China CREST Japan Science and Technology Agency (JST) Kawaguchi Saitama 332-0012 Japan Institute of Microelectronics Tsinghua University Beijing 100084 People’s Republic of China Center for Theoretical Physics Physics Department Center for the Study of Complex Systems The University of Michigan Ann Arbor Michigan 48109-1040 USA

We study cooling and squeezing the fluctuations of a nanomechanical beam using quantum feedback control. In our model, the nanomechanical beam is coupled to a transmission line resonator via a superconducting quantum interference device. The leakage of the electromagnetic field from the transmission line resonator is measured using homodyne detection. This measured signal is then used to design a quantum feedback control signal to drive the electromagnetic field in the transmission line resonator. Although the control is imposed on the transmission line resonator, this quantum feedback control signal indirectly affects the thermal motion of the nanomechanical beam via the inductive beam-resonator coupling, making it possible to cool and squeeze the fluctuations of the beam, allowing it to approach the standard quantum limit.

关键词： .transmission line standard quantum homodyne Nanomechanical Oscillators nanomechanical beam design quantum feedback control signal

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Multi-Innovation Stochastic Gradient Algorithm for Output Error systems Based on the Auxiliary Model

Multi-Innovation Stochastic Gradient Algorithm for Output Er...

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2009 American control Conference (ACC 2009)

作者： Dongqing Wang Feng Ding Peter X. Liu College of Automation Engineering Qingdao University (Jiangnan University) Qingdao P.R. China 266071 Control Science and Engineering Research Center at the Jiangnan University Wuxi P.R. China 214122 Department of Systems and Computer Engineering Carleton University Ottawa Canada K1S 5B6

ISBN: (纸本)9781424445233

This paper combines the multi-innovation theory with the auxiliary model identification idea to present the auxiliary model based multi-innovation stochastic gradient algorithm by expanding the scalar innovation to an innovation vector and introducing the innovation length. Convergence analysis in the stochastic framework indicates that the parameter estimation error consistently converges to zero under certain excitation condition. Finally, we illustrate and test the proposed algorithm with an example.

关键词： Stochastic systems Convergence Educational institutions Stochastic processes Technological innovation Parameter estimation Least squares methods Covariance matrix Computational complexity White noise

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