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作者： Thébaud, Olivier Soulié, Jean-Christophe Marine Economic Department French Research Institute for the Sea Brest France Computer Science Laboratory University of the Littoral Côte d'Opale Calais France

ISBN: (纸本)9780975840047

Recent work in the domain of fisheries ecology has shown that major changes occur in fish communities exploited by commercial fisheries. Selective fishing pressure on the more highly valued components of fish communities is amongst the key factors proposed to explain these changes. Under de facto open access conditions, it is suggested that sequential over harvesting of higher valued fish and/or fish species leads to modifications in the structure of both fish communities, and fisheries landings. This poses the question of the economic drivers of such sequential over-harvesting, and the implications of this process in terms of the total value of landings from a given fish community. The aim of this paper is to present an analysis of this question using a simple bio-economic model of an open access fishery targeting different species. The model is used to analyse the process by which harvesting of the set of species develops, given differences in the economic and biological characteristics of these species. Sensitivity to these differences of both development paths and steady state equilibrium of the fishery are analysed. Simulation results show that, where total effort is controlled but its allocation between alternative species may occur freely (a case of "regulated open access"), there may be significant consequences in terms of the biological status of stocks, and in terms of potential maximum rents. This work is carried out as part of the "CHALOUPE" research project, funded by the french National research Agency (http://***).

关键词： Fisheries

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Multi-Scale Distributed Port-Hamiltonian Representation of Ionic Polymer-Metal Composite

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IFAC Proceedings Volumes 2008年第2期41卷 2300-2305页

作者： Gou Nishida Kentaro Takagi Bernhard Maschke Zhi-wei Luo RIKEN(The Institute of Physical and Chemical Research) Bio-Mimetic Control Research Center Environment Adaptive Robotic Systems Lab. 2271-130 Anagahora Shimoshidami Moriyama-ku Nagoya Aichi 463-0003 Japan Dept. of Mechanical Science and Engineering Graduate School of Engineering Nagoya University Furo-cho Chikusa-ku Nagoya 464-8603 JAPAN Université Claude Bernard Lyon-1 CPE Lyon - Bâtiment 308 G UCB Lyon 1 - UFR Génie Electrique et des Procédés - CNRS UMR 5007 Laboratoire d'Automatique et de Génie des Procédés 43 bd du 11 Novembre 1918 F-69622 Villeurbanne cedex France Department of Computer and Systems Engineering Kobe University 1-1 Rokkodai Nada-ku Kobe Hyogo 657-8501 JAPAN / RIKEN BMC

This paper shows that one of soft actuators, Ionic Polymer-Metal Composite (IPMC) can be modeled in terms of distributed port-Hamiltonian systems with multi-scale. The physical structure of IPMC consists of three parts. The first part is an electric double layer at the interface between the polymer and the metal electrodes. The frequency response of the polymer-metal interface shows a fractal degree of gain slope. Then we adopt a black-box circuit model to this part and give considerations for distributed impedance parameters. The second part is an electrostress diffusion coupling model with bending and relaxation dynamics. This part is represented by an electro-osmosis, which is a water transport by an electric field, and a streaming potential, which is an electric field created by a water transport. We discuss the relationship of stress and bending moment induced by swelling. The third part is a mechanical system modeled as a flexible beam with large deformations. The representation has the capability extracting the control structure based on passivity from distributed parameter systems possessing a complex behavior.

关键词： Modeling Design methodologies

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Stabilizing control for power converters connected to transmission lines

Stabilizing control for power converters connected to transm...

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2007 American control Conference, ACC

作者： Zainea, Markts Van Schaft, Arjan Der Buisson, Jean IETR-Supélec Hybrid Systems Control Group Avenue de la Boulaie F35511 Cesson-Sévigné Cedex France Research Institute for Mathematics and Computer Science University of Groningen PO Box 800 9700 AV Groningen Netherlands

ISBN: (纸本)1424409888

This paper proposes a switching control strategy for the set-point stabilization of a power converter connected via a transmission line to a resistive load. The strategy employs a Lyapunov function that is directly based on energy considerations of the power converter, as well as of the transmission line described by the telegraph equations. The proposed stabilizing switching control still allows a certain freedom in the choice of the control law, a comparison between a maximum descent strategy and a minimum commutation strategy being discussed on a simple example. © 2007 IEEE.

关键词： Power converters

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Stabilizing control for power converters connected to transmission lines

Stabilizing control for power converters connected to transm...

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American control Conference (ACC)

作者： Marius Zainea Arjan van der Schaft Jean Buisson IETR-Supélec Hybrid Systems Control Group France Research Institute for Mathematics and Computer Science University of Groningam Groningen Netherlands

关键词： Power transmission lines Switches Switching converters Lyapunov method Sliding mode control Power system modeling Telegraphy Equations Commutation Power supplies

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EEG Effects of Motion Sickness Induced in a Dynamic Virtual Reality Environment

EEG Effects of Motion Sickness Induced in a Dynamic Virtual ...

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29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2007), vol.10

作者： Chin-Teng Lin Shang-Wen Chuang Yu-Chieh Chen Li-Wei Ko Sheng-Fu Liang Tzyy-Ping Jung Department of Electrical and Control Engineering the Department of Computer Science Brain Research Center Hsinchu Taiwan The Department of Computer Science Brain Research Center Hsinchu Taiwan Department of Electrical and Control Engineering Brain Research Center Hsinchu Taiwan Department of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan Institute for Neural Computation University of California San Diego CA USA

The Electroencephalogram (EEG) dynamics which relate to motion sickness are studied in this paper. Instead of providing visual or motion stimuli to the subjects to induce motion sickness, we employed a dynamic virtual-reality (VR) environment in our research. The environment consisted of a 3D surrounding VR scene and a motion platform providing a realistic situation. This environment provided the advantages of safety, low cost, and the realistic stimuli to induce motion sickness. The Motion Sickness Questionnaire (MSQ) was used to assess the sickness level, and the EEG effects on the subjects with high sickness levels were investigated using the independent component analysis (ICA). The fake-epoch extraction was then applied to the nausea-related independent components. Finally we employed the Event-Related Spectral Perturbation (ERSP) technology on the fake-epochs in order to determine the EEG dynamics during motion sickness. The experimental results show that most subjects experienced an 8-10Hz power increase to their motion sickness-related phenomena in the parietal and motor areas. Moreover, some subjects experienced an EEG power increase of 18-20Hz in their synchronized responses recorded in the same areas. The motion sickness-related effects and regions can be successfully obtained from our experimental results.

关键词： Electroencephalography Virtual reality Layout Vehicle dynamics computer science Safety Motion analysis Independent component analysis control engineering Costs

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control of discrete linear repetitive processes with ℋ ∞ and 2 - ∞ performance

Control of discrete linear repetitive processes with ℋ ∞ a...

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2007 American control Conference, ACC

作者： Wu, Ligang Lam, James Paszke, Wojciech Galkowski, Krzysztof Rogers, Eric Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China Department of Mechanical Engineering University of Hong Kong Pokfulam Road Hong Kong Hong Kong Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 65-246 Zielona Góra Poland School of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom

ISBN: (纸本)1424409888

This paper considers the control of discrete linear repetitive processes, which are a distinct class of two-dimensional (2-D) discrete linear systems, i.e. information propagation in two independent directions, which are of both system-theoretic and applications interest. In this paper we report new results on the design of control laws with guaranteed levels of performance. In particular, develop algorithms for the design of an ℋ∞ and 2-∞ dynamic output feedback controller which guarantees that the resulting controlled process is stable and has prescribed disturbance attenuation performance as measured by ℋ∞ and 2-∞ norms. © 2007 IEEE.

关键词： Linear systems

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LANDING AN UNMANNED AIR VEHICLE: VISION BASED MOTION ESTIMATION AND NONLINEAR control

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Asian Journal of control 2008年第3期1卷

作者： Omid Shakernia Yi Ma T. John Koo Shankar Sastry Dept. of Electrical Engineering & Computer Science University of California at Berkeley Berkeley CA94720-1774 U.S.A. Tak-Kuen John Koo received the B.Eng. degree in 1992 in Electronic Engineering and the M.Phil. in 1994 in Information Engineering both from the Chinese University of Hong Kong. From 1994 to 1995 he was a graduate student in Signal and Image Processing Institute at the University of Southern California. He is currently a Ph.D. Candidate in Electrical Engineering and Computer Sciences at the University of California at Berkeley. His research interests include nonlinear control theory hybrid systems inertial navigation systems with applications to unmanned aerial vehicles. He received the Distinguished M.Phil. Thesis Award of the Faculty of Engineering The Chinese University of Hong Kong in 1994. He was a consultant of SRI International in 1998. Currently he is the team leader of the Berkeley AeRobot Team and a delegate of The Graduate Assembly University of California at Berkeley. He is a student member of IEEE and SIAM. S. Shankar Sastry received his Ph.D. degree in 1981 from the University of California Berkeley. He was on the faculty of MIT from 1980-82 and Harvard University as a Gordon McKay professor in 1994. He is currently a Professor of Electrical Engineering and Computer Sciences and Bioengineering and Director of the Electronics Research Laboratory at Berkeley. He has held visiting appointments at the Australian National University Canberra the University of Rome Scuola Normale and University of Pisa the CNRS laboratory LAAS in Toulouse (poste rouge) and as a Vinton Hayes Visiting fellow at the Center for Intelligent Control Systems at MIT. His areas of research are nonlinear and adaptive control robotic telesurgery control of hybrid systems and biological motor control. He is a coauthor (with M. Bodson) of “Adaptive Control: Stability Convergence and Robustness Prentice Hall 1989.” and (with R. Murray and Z. Li) of “A Mathematical Introduction to Robotic Manipulati

In this paper, we use computer vision as a feedback sensor in a control loop for landing an unmanned air vehicle (UAV) on a landing pad. The vision problem we address here is then a special case of the classic ego-motion estimation problem since all feature points lie on a planar surface (the landing pad). We study together the discrete and differential versions of the ego-motion estimation, in order to obtain both position and velocity of the UAV relative to the landing pad. After briefly reviewing existing algorithm for the discrete case, we present, in a unified geometric framework, a new estimation scheme for solving the differential case. We further show how the obtained algorithms enable the vision sensor to be placed in the feedback loop as a state observer for landing control. These algorithms are linear, numerically robust, and computationally inexpensive hence suitable for real-time implementation. We present a thorough performance evaluation of the motion estimation algorithms under varying levels of image measurement noise, altitudes of the camera above the landing pad, and different camera motions relative to the landing pad. A landing controller is then designed for a full dynamic model of the UAV. Using geometric nonlinear control theory, the dynamics of the UAV are decoupled into an inner system and outer system. The proposed control scheme is then based on the differential flatness of the outer system. For the overall closed-loop system, conditions are provided under which exponential stability can be guaranteed. In the closed-loop system, the controller is tightly coupled with the vision based state estimation and the only auxiliary sensor are accelerometers for measuring acceleration of the UAV. Finally, we show through simulation results that the designed vision-in-the-loop controller generates stable landing maneuvers even for large levels of image measurement noise. Experiments on a real UAV will be presented in future work.

关键词： Motion estimation computer vision based control unmanned air vehicle differential flatness

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Two-stage svm classification for large data sets via randomly reducing and recovering training data

Two-stage svm classification for large data sets via randoml...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Xiaoou Li Jair Cervantes Wen Yu Department of Computer Science Research Centre for Advanced Studies of National Polytechnic Institute (CINVESTAV-IPN) Mexicali Mexico Department of Automatic Control Research Centre for Advanced Studies of National Polytechnic Institute (CINVESTAV-IPN) Mexicali Mexico

Despite of good theoretic foundations and high classification accuracy of support vector machine (SVM), normal SVM is not suitable for classification of large data sets, because the training complexity of SVM is very high. This paper presents a novel two stages SVM classification approach for large data sets by randomly selecting training data. The first stage SVM classification gets a sketch of support vector distribution. Then the neighbors of these support vectors in original data set are used as training data for the second stage SVM classification. Experimental results demonstrate that our approach have good classification accuracy while the training is significantly faster than other SVM classifiers.

关键词： Training data Support vector machines Support vector machine classification Quadratic programming Classification tree analysis Bayesian methods Cities and towns Nearest neighbor searches Artificial neural networks Decision trees

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H∞ filtering for a class of 2D systems

H∞ filtering for a class of 2D systems

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15th European Signal Processing Conference, EUSIPCO 2007

作者： Wu, Ligang Lam, James Paszke, Wojciech Galkowski, Krzysztof Rogers, Eric Kummert, Anton Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China Department of Mechanical Engineering University of Hong Kong Pokfulam Road Hong Kong Hong Kong Institute of Control and Computation Engineering University of Zielona Góra 65-246 Zielona Góra Poland Department of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom University of Wuppertal Faculty of Electrical Information and Media Engineering Communication Theory Germany

ISBN: (纸本)9788392134022

The unique characteristic of a repetitive process is a series of sweeps or passes through a set of dynamics defined over a finite duration known as the pass length. At the end of each pass, the process is reset and the next time through the output, or pass profile, produced on the previous pass acts as a forcing function on, an hence contributes to, the dynamics of the new pass profile. They are hence a class of systems with information propagation in two independent directions where here the dynamics over the finite pass length are described by a matrix linear differential equation and that from pass to pass has a discrete updating structure. This means that filtering/estimation theory/algorithms for, in particular, 2D discrete linear systems is not applicable. In this paper we solve a general filtering problem with a view toward use in the many applications where such action will be required. © 2007 EURASIP.

关键词： Dynamics

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A Study On Iterative Learning control With Adjustment Of Learning Interval For Monotone Convergence In The Sense Of Sup-Norm

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Asian Journal of control 2008年第1期4卷

作者： Kwang-Hyun Park Zeungnam Bien Division of EE Department of EECS Korea Advanced Institute of Science and Technology 373–1 Kusong-dong Yusong-gu Taejon 305–701 Korea. Zeungname Bien:received the B.S. degree in electronics engineering from Seoul National University Seoul Korea in 1969 and the M.S. and Ph.D. degrees in electrical engineering from the University of Iowa Iowa City Iowa U.S.A. in 1972 and 1975 respectively. During 1976–1977 academic years he taught as assistant professor at the Department of Electrical Engineering University of Iowa. Then Dr. Bien joined Korea Advanced Institute of Science and Technology summer 1977 and is now Professor of Control Engineering at the Department of Electrical Engineering and Computer Science KAIST. Dr. Bien was the president of the Korea Fuzzy Logic and Intelligent Systems Society during 1990–1995 and also the general chair of IFSA World Congress 1993 and for FUZZ-IEEE99 respectively. He is currently co-Editor-in-Chief for International Journal of Fuzzy Systems (IJFS) Associate Editor for IEEE Transactions on Fuzzy Systems and a regional editor for the International Journal of Intelligent Automation and Soft Computing. He has been serving as Vice President for IFSA since 1997 and is now Chief Chairman of Institute of Electronics Engineers of Korea and Director of Humanfriendly Welfare Robot System Research Center. His current research interests include intelligent control methods with emphasis on fuzzy logic systems service robotics and rehabilitation engineering and large-scale industrial control systems. Kwang-Hyun Park:received the B.S. M.S. and Ph.D. degrees in electrical engineering and computer science from KAIST Korea in 1994 19997 and 2001 respectively. He is now a researcher at Human-friendly Welfare Robot System Research Center. His research interests include learning control machine learning human-friendly interfaces and service robotics.

It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of λ-norm is guaranteed. In this paper, a new ILC algorithm with adjustment of learning interval is proposed to resolve such an undesirable phenomenon, and it is shown that the output error can be monotonically converged to zero in the sense of sup-norm when the proposed ILC algorithm is applied. A numerical example is given to show the effectiveness of the proposed algorithm.

关键词： Iterative learning control monotone convergence learning interval sup-norm

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