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2014 AASRI International Conference on Applied engineering Sciences（ICAES2014）

作者： Florin Dragomir Mihaela Ivan Alexandru Ivan Automation Computer Science and Electrical Engineering DepartmentValahia University of TargovisteElectrical EngineeringElectronics and Information Technology Faculty

Recent progress in micro-/nanotechnologies,related to the manufacturing and control strategies has enabled the micro-electro-mechanical systems(MEMS) actuators and sensors.A new developing field has recently appeared in the nano- and micro-technologies,the untethered,submillimeter,nano- or micro-sized robots,which present potential applications in targeted drug delivery,biomedical diagnosis or micro-electromechanical parts *** problems,such as microfabrication,system design,control and remote power sourcing still need to be considered and developed to real *** is the field of miniature robotics and represents that category of robotics,which are concerned with the study and application of miniature ones such as mobile robots of micrometre *** article presents a microrobotics perspective on the microfabrication and micromanipulation work that we *** major current challenges are effective innovation,remote power sourcing,and suitable mechanisms for *** and propelling such small devices is needed to overcome the nonlinear physics at this dimension(nano- or micrometers size).Then,the ability to accurately manoeuver it is the next challenge.

关键词： A framework for mobile microrobots control

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High gain observer for embedded Acrobot 19

High gain observer for embedded Acrobot

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Anderle, Milan Čelikovský, Sergej Czech Technical University in Prague Faculty of Electrical Engineering Department of Control Engineering Technická 2 Prague166 27 Czech Republic Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod Vodárenskou věží 4 Prague182 08 Czech Republic

ISBN: (纸本)9783902823625

Underactuated mechanical systems are systems with less actuators than degrees of freedom. Therefore, it is complicated to measure all states, i.e. angular positions or angular velocities, of the mechanical system. Alternative solution consists in an observer design such that unmeasurable states are estimated. For this purpose, a high gain observer for an Acrobot was introduced. By virtue of an Acrobot embedding into a 4-link model, the high gain observer was simply extended and applied to the 4-link model. The main aim of this paper consists in a coupling of a method of the Acrobot embedding into the 4-link model and the high gain observer design for the Acrobot. The coupling results in an observer for the 4-link model with the same structure as the already developed high gain observer for the Acrobot model. The control of the 4-link model using the embedding method is based on a definition of constraining functions for knees control whereas the remaining angle in the hip is controlled in the same way as it would be an Acrobot's angle. The ability of feedback tracking of the walking-like trajectory of the 4-link with observed geometry during a swing phase of a single step is demonstrated in simulations. © IFAC.

关键词： Mechanical actuators

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Temperature-dependent interlayer coupling in Fe3Si/FeSi 2 artificial lattices

Temperature-dependent interlayer coupling in Fe3Si/FeSi 2 ar...

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作者： Sakai, Ken-Ichiro Noda, Yuta Tsumagari, Daiki Deguchi, Hiroyuki Takeda, Kaoru Yoshitake, Tsuyoshi Department of Applied Science for Electronics and Materials Kyushu University Fukuoka Kasuga 816-8580 Japan Department of Control and Information Systems Engineering Kurume National College of Technology Fukuoka Kurume 830-8555 Japan Faculty of Engineering Kyushu Institute of Technology Fukuoka Kitakyushu 804-8550 Japan Department of Electrical Engineering Fukuoka Institute of Technology Fukuoka 811-0295 Japan

Fe3Si/FeSi2 artificial lattices, wherein ferromagnetic (F)/antiferromagnetic (AF) interlayer coupling between the Fe 3Si layers were induced by controlling the thickness of FeSi 2 layers, were prepared on Si(111) substrates by facing targets direct-current sputtering. The interlayer couplings were investigated at different temperatures by measuring the magnetization curves. The AF coupling at room temperature was gradually weakened with a decrease in the temperature, and it finally became ferromagnetic or noncoupled at temperatures lower than 77 K. We consider that the FeSi2 layers act as semiconductors and their change in the electric state for the temperature induces the interlayer coupling switching. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

关键词： Ferromagnetism

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Modelling and computation of nonlinear magnetic and electric circuits

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COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 2015年第3期34卷

作者： Andrzej Demenko Ivo Doležel Kay Hameyer Wojciech Pietrowski Krzysztof Zawirski Institute of Electrical Engineering and Electronics Poznan University of Technology Poznań Poland Department of Theory of Electrical Engineering Faculty of Electrical Engineering University of West Bohemia Pilsen Czech Republic Institute of Electrical Machines IEM RWTH Aachen University Aachen Germany Institute of Control and Information Engineering Poznan University of Technology Poznań Poland

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A New Compressive Sensing Method for Face Recognition

A New Compressive Sensing Method for Face Recognition

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International Symposium on Computational Intelligence and Design, ISCID

作者： Lijia Wang Hua Zhang Zhenjie Wang Junting Li Information Engineering and Automation Department Hebei College of Industry and Technology Shijiazhuang China Faculty of Electrical and Electronics Engineering Shijiazhuang Vocational Technology Institute Shijiazhuang China

ISBN: (纸本)9781479970063

We propose a compressive sensing based method to recognize face with pose variations. The face recognition framework includes two issues: feature extraction and classification. For feature extraction, we present a random measurement matrix to compress an image from high dimensional space to a low dimensional space. The compressive feature has a powerful discrimination because it can preserve most salient information of the image. Meanwhile, the random measurement matrix requires only a uniform random generator. Consequently, the computational complexity is very low. For face classification, we adopt a gradient projection approach considering the Barzilai-Borwein steps and adaptive nonmonotone line searching method. The approach can not only guarantee global convergence but also keep the gradient projection's performance. Finally, our method is conducted on the ORL face database. The results illustrate that our method can handle the variations pose and perform well in term of computing time and recognition rate.

关键词： Face recognition Face Sparse matrices Feature extraction Principal component analysis Compressed sensing Image coding

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Design on fuzzy control for a class of stochastic nonlinear systems

Design on fuzzy control for a class of stochastic nonlinear ...

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2014 American control Conference, ACC 2014

作者： Su, Xiaojie Shi, Peng Wu, Ligang Karimi, Hamid Reza College of Automation Chongqing University 400044 Chongqing China School of Electrical and Electronic Engineering University of Adelaide SA 5005 Australia Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China Department of Engineering Faculty of Engineering and Science University of Agder N-4898 Grimstad Norway College of Engineering and Science Victoria University Melbourne VIC 8001 Australia

ISBN: (纸本)9781479932726

The problem of Hankel-norm output feedback control is solved for a class of T-S fuzzy stochastic systems. The dynamic output feedback controller design technique is proposed by employing fuzzy-basis-dependent Lyapunov function approach and the conversion on the Hankel-norm controller parameters. Sufficient conditions are established to design the controllers such that the resulting closed-loop system is stochastically stable and satisfies a prescribed performance. The desired output feedback controller can be obtained by solving a convex optimization problem, which can be efficiently solved by standard numerical algorithms. © 2014 American Automatic control Council.

关键词： Stochastic systems

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From Linear to Nonlinear Model Predictive control of a Building

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IFAC Proceedings Volumes 2014年第3期47卷 587-592页

作者： Matej Pčolka Eva Žáčeková Rush Robinett Sergej Čelikovský Michael Sebek Department of Control Engineering Faculty of Electrical Engineering of Czech Technical University in Prague Czech Republic Mechanical Engineering-Engineering Mechanics Michigan Technological University United States Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Czech Republic

In the building climate control area, the linear model predictive control (LMPC)—nowadays considered a mature technique—benefits from the fact that the resulting optimization task is convex (thus easily and quickly solvable). On the other hand, while nonlinear model predictive control (NMPC) using a more detailed nonlinear model of a building takes advantage of its more accurate predictions and the fact that it attacks the optimization task more directly, it requires more involved ways of solving the non-convex optimization problem. In this paper, the gap between LMPC and NMPC is bridged by introducing several variants of linear time-varying model predictive controller (LTVMPC). Making use of linear time-varying model of the controlled building, LTVMPC obtains predictions which are closer to reality than those of linear time invariant model while still keeping the optimization task convex and less computationally demanding than in the case of NMPC. The concept of LTVMPC is verified on a set of numerical experiments performed using a high fidelity model created in a building simulation environment and compared to the previously mentioned alternatives (LMPC and NMPC) looking at both the control performance and the computational requirements.

关键词： Predictive control adaptive control recursive identification

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Economical nonlinear model predictive control for building climate control

Economical nonlinear model predictive control for building c...

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2014 American control Conference, ACC 2014

作者： Pcolka, Matej Žáčeková, Eva Robinett, Rush Čelikovsky, Sergej Šebek, Michael Department of Control Engineering Faculty of Electrical Engineering Czech Technical University in Prague Technická 2 166 27 Praha 6 Czech Republic Department of Mechanical Engineering-Engineering Mechanics Michigan Technological University 1400 Townsend Drive Houghton MI United States Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod Vodárenskou věží 4 182 08 Praha 8 Czech Republic

ISBN: (纸本)9781479932726

In this paper, two alternatives approaches to model predictive control (MPC) are compared and contrasted for the role of zone temperature controller - the commonly used linear formulation (LMPC) and rather unconventional nonlinear formulation (NMPC). The economical focus is reflected by the performance criterion being a combination of the comfort requirements and the monetary cost penalties (price of the consumed hot water and the electricity needed to deliver the water to the building) of the controlled inputs. With this formulation, the optimal controller drives toward minimization of the real price rather than minimization of abstract quantities. It turns out that the NMPC is able to attack the cost minimization directly while retaining a compact optimization formulation as opposed to the suboptimal linear alternative. A considerable part of the superiority of the NMPC can be owed also to the use of a nonlinear model that captures the nonlinear building dynamics much more accurately than the linear models. Thanks to an enhanced search step choice introduced in this paper, the NMPC outperforms both the LMPC and the conventional controller significantly even under severe computational restrictions which demonstrates its strong practical applicability. © 2014 American Automatic control Council.

关键词： Nonlinear systems

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A novel current link distributed MPPT PV system - Overall system prototyping and evaluation

A novel current link distributed MPPT PV system - Overall sy...

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International Power Electronics Conference (IPEC)

作者： Mikihiko Toru Akira Xiang-Dong Sun Byung-Gyu Yu Faculty of Engineering Tokyo Polytechnic University Kanagawa Japan 243-0297 Faculty of Automation and Information Engineering Xi'an University of Technology Shaanxi China Division of Electrical Electronics and Control Engineering Kongju National University Chungnam Korea

ISBN: (纸本)9781479927067

A novel structure for power maximization of the PV (photovoltaic) system under partially condition is presented. By using CSI (Current Source Inverter) instead of VSI (Voltage Source Inverter), the structure of PV system becomes extremely both more simple and reliable than conventional one. It means that MICs (Module Integrated Converters) can be consisted of buck-only converters and electrolytic capacitors can be removed from the inverter. The experimental results confirmed that the total output power captured the sum of each maximum value of PV under shading conditions.

关键词： Microwave integrated circuits Pulse width modulation Reliability Clocks Generators Oscillators

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Adaptive cubature strong tracking information filter using variational Bayesian method 19

Adaptive cubature strong tracking information filter using v...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Ge, Quanbo Wen, Chenglin Chen, Shaodong Sun, Ruoyu Li, Yuan Institute of Systems Science and Control Engineering School of Automation Hangzhou Dianzi University Hangzhou Zhejiang310018 China Luoyang Institute of Electro Optical Equipment of AVIC Luoyang Henan471000 China Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55414 United States Information Engineering School Shenyang University of Chemical Technology Shenyang Liaoning100142 China

ISBN: (纸本)9783902823625

For most practical nonlinear state estimation problems, the conventional nonlinear filters do not usually work well for some cases, such as inaccurate system model, sudden change of state-interested and unknown variance of measurement noise. In this paper, an adaptive cubature strong tracking information filter using variational Bayesian (VB) method is proposed to cope with these complex cases. Firstly, the strong tracking filtering (STF) technology is used to integrally improve performance of cubature information filter (CIF) aiming at the first two cases and an iterative scheme is presented to effectively evaluate a strong tracking fading factor. Secondly, the VB method is introduced to iteratively evaluate the unknown variance of measurement noise. Finally, the novel adaptive cubature information filter is obtained by perfectly combining the STF technology with the VB method, where the variance estimation provided by the VB method guarantees normal running of the strong tracking functionality. © IFAC.

关键词： information filtering

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